Checking randomization
It looks like randomization worked…with my limited randomization procedure.
## deiexpert
## ex_wom man none woman
## Adopt 0 50 0
## Audit 68 51 0
## Budget 68 48 0
## Equity 0 0 203
## Habitat 64 49 0## deiexpert
## ex_man man none woman
## Adopt 0 48 0
## Audit 0 49 69
## Budget 0 51 68
## Equity 200 0 0
## Habitat 0 50 66Analyses
Voice Quality
Focal Woman
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
(vq_graph_data <- qual_clean_long %>%
group_by(deiexpert_f, pers_simplified, ex_wom) %>%
summarize(mean_vq = mean(vq),
sd_vq = sd(vq)))## `summarise()` has grouped output by 'deiexpert_f', 'pers_simplified'. You can override using the `.groups` argument.vq_graph_data %>%
ggplot(aes(x = ex_wom, fill = deiexpert_f, y = mean_vq))+
geom_bar(position = "dodge", stat = "identity")+
labs(x = "Focal Woman's Committee Assignment",
y = "Voice Quality",
fill = "DEI Expertise Condition")+
facet_wrap(~pers_simplified)
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ ex_wom * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7658
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4867 -0.5637 -0.0014 0.7317 2.3191
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.449 0.67
## Residual 2.016 1.42
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.9255 0.2539 509.0000 19.40 <0.0000000000000002 ***
## ex_womAudit -0.1165 0.2872 509.0000 -0.41 0.69
## ex_womBudget 0.0548 0.2850 509.0000 0.19 0.85
## ex_womEquity -0.3667 0.2640 509.0000 -1.39 0.17
## ex_womHabitat -0.1000 0.2157 509.0000 -0.46 0.64
## deiexpert_fNo one has DEI Quals. -0.1755 0.2044 509.0000 -0.86 0.39
## ex_womAudit:deiexpert_fNo one has DEI Quals. 0.3825 0.2829 509.0000 1.35 0.18
## ex_womBudget:deiexpert_fNo one has DEI Quals. 0.0137 0.2850 509.0000 0.05 0.96
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ex_wmA ex_wmB ex_wmE ex_wmH d_ohDQ e_AohDQ
## ex_womAudit -0.884
## ex_womBudgt -0.891 0.788
## ex_womEquty -0.962 0.851 0.857
## ex_womHabtt -0.849 0.751 0.757 0.817
## dx_NohDEIQ. -0.805 0.712 0.717 0.774 0.540
## e_A:_NohDEQ 0.582 -0.736 -0.518 -0.560 -0.390 -0.723
## e_B:_NohDEQ 0.578 -0.511 -0.721 -0.556 -0.388 -0.717 0.518
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficientssjPlot::plot_model(
lmer(vq~ex_wom*deiexpert_f + (1|pid), data = qual_clean_long), type = "int", mdrt.values = "meansd",
)## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Could not compute variance-covariance matrix of predictions. No confidence intervals are returned.
Focal Man
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
(vq_graph_data <- qual_clean_long %>%
group_by(deiexpert_f, pers_simplified, ex_man) %>%
summarize(mean_vq = mean(vq),
sd_vq = sd(vq)))## `summarise()` has grouped output by 'deiexpert_f', 'pers_simplified'. You can override using the `.groups` argument.vq_graph_data %>%
ggplot(aes(x = ex_man, fill = deiexpert_f, y = mean_vq))+
geom_bar(position = "dodge", stat = "identity")+
labs(x = "Focal Man's Committee Assignment",
y = "Voice Quality",
fill = "DEI Expertise Condition")+
facet_wrap(~pers_simplified)
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ ex_man * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7658
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5160 -0.5738 0.0055 0.7302 2.3670
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.448 0.669
## Residual 2.016 1.420
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.6789 0.2473 509.0000 18.92 <0.0000000000000002 ***
## ex_manAudit -0.2506 0.2771 509.0000 -0.90 0.37
## ex_manBudget -0.0418 0.2766 509.0000 -0.15 0.88
## ex_manEquity 0.1954 0.2589 509.0000 0.75 0.45
## ex_manHabitat -0.0685 0.2129 509.0000 -0.32 0.75
## deiexpert_fNo one has DEI Quals. 0.1396 0.1963 509.0000 0.71 0.48
## ex_manAudit:deiexpert_fNo one has DEI Quals. 0.0821 0.2791 509.0000 0.29 0.77
## ex_manBudget:deiexpert_fNo one has DEI Quals. 0.2393 0.2722 509.0000 0.88 0.38
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ex_mnA ex_mnB ex_mnE ex_mnH d_ohDQ e_AohDQ
## ex_manAudit -0.893
## ex_manBudgt -0.894 0.798
## ex_manEquty -0.955 0.853 0.854
## ex_manHabtt -0.861 0.768 0.770 0.822
## dx_NohDEIQ. -0.793 0.708 0.709 0.758 0.542
## e_A:_NohDEQ 0.558 -0.700 -0.499 -0.533 -0.381 -0.703
## e_B:_NohDEQ 0.572 -0.511 -0.715 -0.547 -0.391 -0.721 0.507
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficientssjPlot::plot_model(
lmer(vq~ex_man*deiexpert_f + (1|pid), data = qual_clean_long), type = "int", mdrt.values = "meansd",
)## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Could not compute variance-covariance matrix of predictions. No confidence intervals are returned.
Voice Solicitation
Focal Woman
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
(vs_graph_data <- qual_clean_long %>%
group_by(deiexpert_f, pers_simplified, ex_wom) %>%
summarize(mean_vs = mean(vs),
sd_vs = sd(vs)))## `summarise()` has grouped output by 'deiexpert_f', 'pers_simplified'. You can override using the `.groups` argument.vs_graph_data %>%
ggplot(aes(x = ex_wom, fill = deiexpert_f, y = mean_vs))+
geom_bar(position = "dodge", stat = "identity")+
labs(x = "Focal Woman's Committee Assignment",
y = "Voice Solicitation",
fill = "DEI Expertise Condition")+
facet_wrap(~pers_simplified)
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ ex_wom * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7957
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7041 -0.5651 0.0729 0.6056 2.4554
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.827 0.909
## Residual 2.170 1.473
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.282 0.304 509.000 17.35 <0.0000000000000002 ***
## ex_womAudit -0.294 0.344 509.000 -0.85 0.394
## ex_womBudget -0.323 0.342 509.000 -0.95 0.344
## ex_womEquity -0.553 0.317 509.000 -1.75 0.081 .
## ex_womHabitat -0.194 0.259 509.000 -0.75 0.452
## deiexpert_fNo one has DEI Quals. -0.359 0.245 509.000 -1.47 0.144
## ex_womAudit:deiexpert_fNo one has DEI Quals. 0.406 0.339 509.000 1.20 0.232
## ex_womBudget:deiexpert_fNo one has DEI Quals. 0.303 0.342 509.000 0.89 0.376
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ex_wmA ex_wmB ex_wmE ex_wmH d_ohDQ e_AohDQ
## ex_womAudit -0.884
## ex_womBudgt -0.891 0.788
## ex_womEquty -0.962 0.851 0.857
## ex_womHabtt -0.849 0.751 0.757 0.817
## dx_NohDEIQ. -0.805 0.712 0.717 0.774 0.540
## e_A:_NohDEQ 0.582 -0.736 -0.518 -0.560 -0.390 -0.723
## e_B:_NohDEQ 0.578 -0.511 -0.721 -0.556 -0.388 -0.717 0.518
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficientssjPlot::plot_model(
lmer(vs~ex_wom*deiexpert_f + (1|pid), data = qual_clean_long), type = "int", mdrt.values = "meansd",
)## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Could not compute variance-covariance matrix of predictions. No confidence intervals are returned.
Focal Man
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
(vs_graph_data <- qual_clean_long %>%
group_by(deiexpert_f, pers_simplified, ex_man) %>%
summarize(mean_vs = mean(vs),
sd_vs = sd(vs)))## `summarise()` has grouped output by 'deiexpert_f', 'pers_simplified'. You can override using the `.groups` argument.vs_graph_data %>%
ggplot(aes(x = ex_man, fill = deiexpert_f, y = mean_vs))+
geom_bar(position = "dodge", stat = "identity")+
labs(x = "Focal Man's Committee Assignment",
y = "Voice Solicitation",
fill = "DEI Expertise Condition")+
facet_wrap(~pers_simplified)
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ ex_man * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7955
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.718 -0.554 0.055 0.587 2.504
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.821 0.906
## Residual 2.170 1.473
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.8312 0.2961 509.0000 16.32 <0.0000000000000002 ***
## ex_manAudit -0.2923 0.3317 509.0000 -0.88 0.38
## ex_manBudget -0.0349 0.3312 509.0000 -0.11 0.92
## ex_manEquity 0.1787 0.3099 509.0000 0.58 0.56
## ex_manHabitat 0.0208 0.2549 509.0000 0.08 0.93
## deiexpert_fNo one has DEI Quals. 0.0705 0.2350 509.0000 0.30 0.76
## ex_manAudit:deiexpert_fNo one has DEI Quals. 0.1187 0.3342 509.0000 0.36 0.72
## ex_manBudget:deiexpert_fNo one has DEI Quals. 0.1677 0.3259 509.0000 0.51 0.61
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ex_mnA ex_mnB ex_mnE ex_mnH d_ohDQ e_AohDQ
## ex_manAudit -0.893
## ex_manBudgt -0.894 0.798
## ex_manEquty -0.955 0.853 0.854
## ex_manHabtt -0.861 0.768 0.770 0.822
## dx_NohDEIQ. -0.793 0.708 0.709 0.758 0.542
## e_A:_NohDEQ 0.558 -0.700 -0.499 -0.533 -0.381 -0.703
## e_B:_NohDEQ 0.572 -0.511 -0.715 -0.547 -0.391 -0.721 0.507
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficientssjPlot::plot_model(
lmer(vs~ex_man*deiexpert_f + (1|pid), data = qual_clean_long), type = "int", mdrt.values = "meansd",
)## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## Could not compute variance-covariance matrix of predictions. No confidence intervals are returned.
Ranking
Focal Woman
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
(rank_r_graph_data <- qual_clean_long %>%
group_by(deiexpert_f, pers_simplified, ex_wom) %>%
summarize(mean_rank_r = mean(rank_r),
sd_rank_r = sd(rank_r)))## `summarise()` has grouped output by 'deiexpert_f', 'pers_simplified'. You can override using the `.groups` argument.rank_r_graph_data %>%
ggplot(aes(x = ex_wom, fill = deiexpert_f, y = mean_rank_r))+
geom_bar(position = "dodge", stat = "identity")+
labs(x = "Focal Woman's Committee Assignment",
y = "Ranking",
fill = "DEI Expertise Condition")+
facet_wrap(~pers_simplified)
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## boundary (singular) fit: see help('isSingular')## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank_r ~ ex_wom * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6357
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.34 -0.67 0.00 0.67 1.34
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.25 1.12
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.49999999999998890 0.14570976436472310 2060.00000002685828804 17.2 <0.0000000000000002 ***
## ex_womAudit 0.00000000000001122 0.16477396582281445 2060.00000003330251275 0.0 1
## ex_womBudget 0.00000000000001145 0.16350866234967854 2060.00000004023513611 0.0 1
## ex_womEquity 0.00000000000001126 0.15147810850414550 2060.00000002748356565 0.0 1
## ex_womHabitat 0.00000000000000800 0.12374251916567837 2060.00000004034154699 0.0 1
## deiexpert_fNo one has DEI Quals. 0.00000000000000757 0.11731139837023553 2060.00000003188051778 0.0 1
## ex_womAudit:deiexpert_fNo one has DEI Quals. -0.00000000000000753 0.16234483623105600 2060.00000002783417585 0.0 1
## ex_womBudget:deiexpert_fNo one has DEI Quals. -0.00000000000000807 0.16350866234967876 2060.00000004024650480 0.0 1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ex_wmA ex_wmB ex_wmE ex_wmH d_ohDQ e_AohDQ
## ex_womAudit -0.884
## ex_womBudgt -0.891 0.788
## ex_womEquty -0.962 0.851 0.857
## ex_womHabtt -0.849 0.751 0.757 0.817
## dx_NohDEIQ. -0.805 0.712 0.717 0.774 0.540
## e_A:_NohDEQ 0.582 -0.736 -0.518 -0.560 -0.390 -0.723
## e_B:_NohDEQ 0.578 -0.511 -0.721 -0.556 -0.388 -0.717 0.518
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')sjPlot::plot_model(
lmer(rank_r~ex_wom*deiexpert_f + (1|pid), data = qual_clean_long), type = "int", mdrt.values = "meansd",
)## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients
## boundary (singular) fit: see help('isSingular')## Could not compute variance-covariance matrix of predictions. No confidence intervals are returned.
Focal Man
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
(rank_r_graph_data <- qual_clean_long %>%
group_by(deiexpert_f, pers_simplified, ex_man) %>%
summarize(mean_rank_r = mean(rank_r),
sd_rank_r = sd(rank_r)))## `summarise()` has grouped output by 'deiexpert_f', 'pers_simplified'. You can override using the `.groups` argument.rank_r_graph_data %>%
ggplot(aes(x = ex_man, fill = deiexpert_f, y = mean_rank_r))+
geom_bar(position = "dodge", stat = "identity")+
labs(x = "Focal Man's Committee Assignment",
y = "Ranking",
fill = "DEI Expertise Condition")+
facet_wrap(~pers_simplified)
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients## boundary (singular) fit: see help('isSingular')## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank_r ~ ex_man * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6357
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.34 -0.67 0.00 0.67 1.34
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.25 1.12
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.49999999999999556 0.14201162754449462 2060.00000002911792762 17.6 <0.0000000000000002 ***
## ex_manAudit 0.00000000000000456 0.15909163438769461 2060.00000003596414899 0.0 1
## ex_manBudget 0.00000000000000410 0.15883072437899340 2060.00000002343995220 0.0 1
## ex_manEquity 0.00000000000000433 0.14863352792378118 2060.00000003337481758 0.0 1
## ex_manHabitat 0.00000000000000338 0.12222414854391965 2060.00000004307548807 0.0 1
## deiexpert_fNo one has DEI Quals. 0.00000000000000298 0.11268509712554366 2060.00000003596915121 0.0 1
## ex_manAudit:deiexpert_fNo one has DEI Quals. -0.00000000000000286 0.16026108914621193 2060.00000003432205631 0.0 1
## ex_manBudget:deiexpert_fNo one has DEI Quals. -0.00000000000000245 0.15630926090499600 2060.00000003689410732 0.0 1
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) ex_mnA ex_mnB ex_mnE ex_mnH d_ohDQ e_AohDQ
## ex_manAudit -0.893
## ex_manBudgt -0.894 0.798
## ex_manEquty -0.955 0.853 0.854
## ex_manHabtt -0.861 0.768 0.770 0.822
## dx_NohDEIQ. -0.793 0.708 0.709 0.758 0.542
## e_A:_NohDEQ 0.558 -0.700 -0.499 -0.533 -0.381 -0.703
## e_B:_NohDEQ 0.572 -0.511 -0.715 -0.547 -0.391 -0.721 0.507
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')sjPlot::plot_model(
lmer(rank_r~ex_man*deiexpert_f + (1|pid), data = qual_clean_long), type = "int", mdrt.values = "meansd",
)## fixed-effect model matrix is rank deficient so dropping 7 columns / coefficients
## boundary (singular) fit: see help('isSingular')## Could not compute variance-covariance matrix of predictions. No confidence intervals are returned.
Labeling notes:
pers_simplified references a variable coded for EVERY
candidate.
targ_gend_f references a variable coded for the candidate’s
gender.
deiexpert_f references a variable our between-subjects
manipulations.
Snapshot of the dataset is below:
Manipulation Check
Regressions
Target Gender by DEI Expert Identity on Ranking
I reverse-coded the ranking variable. So I coded ‘1’ ranking as ‘4’, ‘2’ ranking as ‘3’, and ‘4’ as ‘1’ So higher #’s means person was more likely to be picked.”
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
Estimated marginal means for ranking (grouped by person)
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank_r ~ pers_simplified * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6079
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.4726 -0.9828 -0.0261 0.6325 1.8871
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.09 1.05
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.3436 0.0819 2056.0000 28.62 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) 0.1534 0.1158 2056.0000 1.32 0.18546
## pers_simplifiedW1(MC) -0.0552 0.1158 2056.0000 -0.48 0.63352
## pers_simplifiedW2(LM) 0.5276 0.1158 2056.0000 4.56 0.00000550560 ***
## deiexpert_fNo one has DEI Quals. 0.2237 0.1144 2056.0000 1.95 0.05073 .
## deiexpert_fWoman Has DEI Quals. -0.3162 0.1126 2056.0000 -2.81 0.00502 **
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. -0.3639 0.1618 2056.0000 -2.25 0.02464 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 0.0962 0.1618 2056.0000 0.59 0.55247
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. -0.6270 0.1618 2056.0000 -3.87 0.00011 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. -0.1315 0.1592 2056.0000 -0.83 0.40889
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 0.3667 0.1592 2056.0000 2.30 0.02137 *
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 1.0298 0.1592 2056.0000 6.47 0.00000000012 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) p_M2(J p_W1(M p_W2(L d_ohDQ d_WHDQ p_MohDQ p_W1ohDQ p_W2ohDQ p_MHDQ p_W1HDQ
## prs_sM2(JA) -0.707
## prs_sW1(MC) -0.707 0.500
## prs_sW2(LM) -0.707 0.500 0.500
## dx_NohDEIQ. -0.716 0.506 0.506 0.506
## dxp_WHDEIQ. -0.727 0.514 0.514 0.514 0.520
## p_M2(JAohDQ 0.506 -0.716 -0.358 -0.358 -0.707 -0.368
## p_W1(MCohDQ 0.506 -0.358 -0.716 -0.358 -0.707 -0.368 0.500
## p_W2(LMohDQ 0.506 -0.358 -0.358 -0.716 -0.707 -0.368 0.500 0.500
## p_M2(JA)HDQ 0.514 -0.727 -0.364 -0.364 -0.368 -0.707 0.520 0.260 0.260
## p_W1(MC)HDQ 0.514 -0.364 -0.727 -0.364 -0.368 -0.707 0.260 0.520 0.260 0.500
## p_W2(LM)HDQ 0.514 -0.364 -0.364 -0.727 -0.368 -0.707 0.260 0.260 0.520 0.500 0.500
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
Target Gender by DEI Expert Identity on Voice Solicitation
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
Estimated marginal means for voice solicitation (grouped by person)
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ pers_simplified * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7595
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.249 -0.518 0.061 0.618 2.781
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.934 0.966
## Residual 1.710 1.308
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.828 0.127 1496.028 45.76 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -1.331 0.145 1542.000 -9.19 < 0.0000000000000002 ***
## pers_simplifiedW1(MC) -0.801 0.145 1542.000 -5.53 0.00000003813708947 ***
## pers_simplifiedW2(LM) -1.141 0.145 1542.000 -7.88 0.00000000000000624 ***
## deiexpert_fNo one has DEI Quals. -1.331 0.178 1496.028 -7.48 0.00000000000012729 ***
## deiexpert_fWoman Has DEI Quals. -1.861 0.175 1496.028 -10.63 < 0.0000000000000002 ***
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.419 0.202 1542.000 7.01 0.00000000000356045 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.593 0.202 1542.000 7.87 0.00000000000000667 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 1.884 0.202 1542.000 9.31 < 0.0000000000000002 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.501 0.199 1542.000 7.53 0.00000000000008302 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.639 0.199 1542.000 8.23 0.00000000000000039 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 3.179 0.199 1542.000 15.96 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) p_M2(J p_W1(M p_W2(L d_ohDQ d_WHDQ p_MohDQ p_W1ohDQ p_W2ohDQ p_MHDQ p_W1HDQ
## prs_sM2(JA) -0.569
## prs_sW1(MC) -0.569 0.500
## prs_sW2(LM) -0.569 0.500 0.500
## dx_NohDEIQ. -0.716 0.407 0.407 0.407
## dxp_WHDEIQ. -0.727 0.414 0.414 0.414 0.520
## p_M2(JAohDQ 0.407 -0.716 -0.358 -0.358 -0.569 -0.296
## p_W1(MCohDQ 0.407 -0.358 -0.716 -0.358 -0.569 -0.296 0.500
## p_W2(LMohDQ 0.407 -0.358 -0.358 -0.716 -0.569 -0.296 0.500 0.500
## p_M2(JA)HDQ 0.414 -0.727 -0.364 -0.364 -0.296 -0.569 0.520 0.260 0.260
## p_W1(MC)HDQ 0.414 -0.364 -0.727 -0.364 -0.296 -0.569 0.260 0.520 0.260 0.500
## p_W2(LM)HDQ 0.414 -0.364 -0.364 -0.727 -0.296 -0.569 0.260 0.260 0.520 0.500 0.500
Target Gender by DEI Expert Identity on Voice Quality
Comparing EVERY candidate to each other
Mixed-Model Anova comparing EVERY candidate to each other
Pairwise comparisons (comparing conditions across candidates)
Pairwise comparisons (comparing candidates across conditions)
Estimated marginal means for voice quality (grouped by person)
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ pers_simplified * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7237
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.618 -0.541 0.039 0.612 2.643
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.57 0.755
## Residual 1.53 1.236
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.856 0.113 1683.285 51.62 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -1.475 0.137 1542.000 -10.78 < 0.0000000000000002 ***
## pers_simplifiedW1(MC) -1.187 0.137 1542.000 -8.67 < 0.0000000000000002 ***
## pers_simplifiedW2(LM) -1.264 0.137 1542.000 -9.23 < 0.0000000000000002 ***
## deiexpert_fNo one has DEI Quals. -1.391 0.159 1683.285 -8.77 < 0.0000000000000002 ***
## deiexpert_fWoman Has DEI Quals. -1.951 0.156 1683.285 -12.51 < 0.0000000000000002 ***
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.572 0.191 1542.000 8.22 0.00000000000000044 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.833 0.191 1542.000 9.58 < 0.0000000000000002 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 1.928 0.191 1542.000 10.07 < 0.0000000000000002 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.639 0.188 1542.000 8.71 < 0.0000000000000002 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.589 0.188 1542.000 8.44 < 0.0000000000000002 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 3.316 0.188 1542.000 17.61 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) p_M2(J p_W1(M p_W2(L d_ohDQ d_WHDQ p_MohDQ p_W1ohDQ p_W2ohDQ p_MHDQ p_W1HDQ
## prs_sM2(JA) -0.603
## prs_sW1(MC) -0.603 0.500
## prs_sW2(LM) -0.603 0.500 0.500
## dx_NohDEIQ. -0.716 0.432 0.432 0.432
## dxp_WHDEIQ. -0.727 0.439 0.439 0.439 0.520
## p_M2(JAohDQ 0.432 -0.716 -0.358 -0.358 -0.603 -0.314
## p_W1(MCohDQ 0.432 -0.358 -0.716 -0.358 -0.603 -0.314 0.500
## p_W2(LMohDQ 0.432 -0.358 -0.358 -0.716 -0.603 -0.314 0.500 0.500
## p_M2(JA)HDQ 0.439 -0.727 -0.364 -0.364 -0.314 -0.603 0.520 0.260 0.260
## p_W1(MC)HDQ 0.439 -0.364 -0.727 -0.364 -0.314 -0.603 0.260 0.520 0.260 0.500
## p_W2(LM)HDQ 0.439 -0.364 -0.364 -0.727 -0.314 -0.603 0.260 0.260 0.520 0.500 0.500
Exploratory analyses
How did the qualifications participants saw impact our results?
Controlling for which set of qualifications were dislayed does NOT change results
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank_r ~ pers_simplified * deiexpert_f * partfunction * sort + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 3606
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.615 -0.306 0.000 0.361 2.550
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.02 1.01
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 4.9999999999927418 2.5705145080514971 1091.9999999567789928 1.95 0.05202 .
## pers_simplifiedM2(JA) -6.9999999999920650 3.6352564795645983 1091.9999999597703209 -1.93 0.05442 .
## pers_simplifiedW1(MC) -1.9999999999923217 3.6352564795637847 1091.9999999587921593 -0.55 0.58232
## pers_simplifiedW2(LM) -0.9999999999918684 3.6352564795645668 1091.9999999597321221 -0.28 0.78330
## deiexpert_fNo one has DEI Quals. -1.9166666666673180 2.1974053920845718 1091.9999999565388862 -0.87 0.38327
## deiexpert_fWoman Has DEI Quals. -2.4999999999954334 2.2544903630324447 1091.9999999653996383 -1.11 0.26772
## partfunctionAccount Management 0.5000000000026935 1.8862419669565973 1091.9999999585356818 0.27 0.79100
## partfunctionAccounting -2.9999999999927671 2.6675489715850622 1091.9999999602453045 -1.12 0.26099
## partfunctionAdministrative Assistant -1.9999999999935958 2.8517298040328334 1091.9999999674830633 -0.70 0.48325
## partfunctionAdministrative services -1.9999999999927665 2.6356011248360827 1091.9999999572894467 -0.76 0.44811
## partfunctionassistant manger -2.0833333333254220 3.6700444155447904 1091.9999999529979959 -0.57 0.57038
## partfunctionBook editor 0.5000000000026910 1.8862419669565873 1091.9999999585127171 0.27 0.79100
## partfunctionBusiness Development -1.0833333333278907 2.9824104168877521 1091.9999999600486262 -0.36 0.71650
## partfunctionCase manager -0.9999999999934319 2.8517298040329595 1091.9999999676758762 -0.35 0.72591
## partfunctionchildcare 0.5000000000026947 1.8862419669565831 1091.9999999585027126 0.27 0.79100
## partfunctionCivil Engineering 1.9166666666721093 2.9824104168877321 1091.9999999474161996 0.64 0.52058
## partfunctioncollege educator -0.9999999999934358 2.8517298040329622 1091.9999999562278390 -0.35 0.72591
## partfunctionCommunications -0.9999999999927225 2.7611755097251183 1091.9999999644032869 -0.36 0.71730
## partfunctionConstruction -1.9999999999927363 2.7611755097251143 1091.9999999570825366 -0.72 0.46902
## partfunctionConstruction, system management -0.0833333333278742 2.9824104168877454 1091.9999999600386218 -0.03 0.97771
## partfunctionConsultant -0.9999999999985429 1.4258649020172829 1091.9999999585436399 -0.70 0.48325
## partfunctioncopywriter 0.0000000000014578 1.4258649020172831 1091.9999999585445494 0.00 1.00000
## partfunctionCustomer Experience/Support -1.5833333333268609 3.1212005747136033 1091.9999999542701516 -0.51 0.61206
## partfunctionData Analysis -0.3333333333266458 3.1883308476394832 1091.9999999537656095 -0.10 0.91675
## partfunctiondATA COLLECTION -0.9999999999934378 2.8517298040329582 1091.9999999676740572 -0.35 0.72591
## partfunctionData Processing -2.0833333333254256 3.6700444155447900 1091.9999999529977686 -0.57 0.57038
## partfunctionDesign 1.0000000000065570 2.8517298040329586 1091.9999999561518962 0.35 0.72591
## partfunctionDesign or creative services -3.9999999999927565 2.6675489715850484 1091.9999999602225671 -1.50 0.13403
## partfunctionDisaster restoration -0.9999999999927359 2.7611755097251125 1091.9999999570800355 -0.36 0.71730
## partfunctionEducation -0.9999999999927495 2.7611755097251143 1091.9999999570823093 -0.36 0.71730
## partfunctionEducation 0.5000000000026882 1.8862419669565849 1091.9999999585070327 0.27 0.79100
## partfunctioneducation administration -2.9999999999942006 2.4696704550220168 1091.9999999657934495 -1.21 0.22473
## partfunctionEducational instructor -0.0833333333278706 2.9824104168877432 1091.9999999600356659 -0.03 0.97771
## partfunctionElectrical Engineering -0.9999999999927364 2.7611755097251098 1091.9999999570379714 -0.36 0.71730
## partfunctionElectrical maintenance 0.5000000000026931 1.8862419669565820 1091.9999999585004389 0.27 0.79100
## partfunctionEmployee 0.0000000000058020 2.4696704550220163 1091.9999999657923127 0.00 1.00000
## partfunctionEntertainment -0.9999999999934294 2.8517298040329617 1091.9999999562269295 -0.35 0.72591
## partfunctionEnvironmental science and remediation services 1.9166666666721286 2.9824104168877450 1091.9999999600381670 0.64 0.52058
## partfunctionEverything- hiring, firing, operations, purchases for company and office . 0.0000000000058033 2.4696704550220181 1091.9999999642880084 0.00 1.00000
## partfunctionFaculty -0.9999999999985407 1.4258649020172824 1091.9999999585422756 -0.70 0.48325
## partfunctionFinancial services 0.1666666666733809 3.0664384185008950 1091.9999999616879904 0.05 0.95666
## partfunctionFireplace Installer 0.9166666666721301 2.9824104168877437 1091.9999999600363481 0.31 0.75863
## partfunctionFood delivery -0.9999999999935932 2.8517298040328303 1091.9999999536937594 -0.35 0.72591
## partfunctionForman 0.0000000000014561 1.4258649020172831 1091.9999999585440946 0.00 1.00000
## partfunctionFreelance gigworker -2.9999999999941989 2.4696704550220154 1091.9999999657916305 -1.21 0.22473
## partfunctiongas fitter -0.9999999999985398 1.4258649020172838 1091.9999999585463684 -0.70 0.48325
## partfunctionGeological lab testing 0.0000000000034921 2.0164774825441989 1091.9999999576893970 0.00 1.00000
## partfunctionGrocery Management -2.9999999999941909 2.4696704550220181 1091.9999999642882358 -1.21 0.22473
## partfunctionGrocery Sales 0.0000000000014496 1.4258649020172827 1091.9999999585431851 0.00 1.00000
## partfunctionHealthcare -3.9999999999926343 2.6675489715849663 1091.9999999600881893 -1.50 0.13403
## partfunctionHomehealth Manager -3.9999999999927831 2.8517298040328032 1091.9999999536516953 -1.40 0.16100
## partfunctionHuman Resources -1.3333333333260589 2.6356011248360756 1091.9999999572785327 -0.51 0.61303
## partfunctionI am the rental property owner/manager. 0.0000000000034933 2.0164774825442011 1091.9999999576232312 0.00 1.00000
## partfunctionI an associate. 0.5000000000026924 1.8862419669565855 1091.9999999585083970 0.27 0.79100
## partfunctioni'm a small business owner -- sole proprietorship that provides tutoring and academic consulting -2.9999999999941864 2.4696704550220159 1091.9999999657920853 -1.21 0.22473
## partfunctionindividual contributor 3.0000000000034959 2.0164774825442002 1091.9999999554302121 1.49 0.13711
## partfunctionInformation Networking 1.9166666666721281 2.9824104168877446 1091.9999999600372576 0.64 0.52058
## partfunctionInformation Security -2.9999999999927338 2.6675489715850542 1091.9999999615238266 -1.12 0.26099
## partfunctionInformation Technology (IT) -3.6666666666592493 2.6356011248360729 1091.9999999572323759 -1.39 0.16445
## partfunctionjanitor/cleaner -0.0833333333278659 2.9824104168877419 1091.9999999600333922 -0.03 0.97771
## partfunctionLegal services -0.9999999999927371 2.7611755097251125 1091.9999999570416094 -0.36 0.71730
## partfunctionLibrary Assistant -2.9999999999941926 2.4696704550220145 1091.9999999642816420 -1.21 0.22473
## partfunctionlibrary worker -3.9999999999935860 2.8517298040328316 1091.9999999536951236 -1.40 0.16100
## partfunctionmaintenance manager -3.9999999999927369 2.7611755097251129 1091.9999999570804903 -1.45 0.14772
## partfunctionmaintenance mechanic -0.9999999999927777 2.8517298040328058 1091.9999999674405444 -0.35 0.72591
## partfunctionManagement -0.9999999999985421 1.4258649020172838 1091.9999999585468231 -0.70 0.48325
## partfunctionmanager -0.9999999999927338 2.7611755097251134 1091.9999999570807176 -0.36 0.71730
## partfunctionManual Laborer -0.9999999999927761 2.8517298040328045 1091.9999999674387254 -0.35 0.72591
## partfunctionManufacturing 0.0000000000034931 2.0164774825441998 1091.9999999576912160 0.00 1.00000
## partfunctionMarketing 1.9166666666721517 2.9824104168877876 1091.9999999474973720 0.64 0.52058
## partfunctionMechanical Engineering 2.4166666666734216 3.3057317818543801 1091.9999999574858975 0.73 0.46490
## partfunctionMedia Clerk -0.9999999999927875 2.8517298040328050 1091.9999999559868229 -0.35 0.72591
## partfunctionOperations -2.2999999999927110 2.5902122252903057 1091.9999999585947990 -0.89 0.37476
## partfunctionPackage delivery -0.9999999999927823 2.8517298040328063 1091.9999999559886419 -0.35 0.72591
## partfunctionPatient recruitment 0.0000000000034953 2.0164774825442002 1091.9999999554302121 0.00 1.00000
## partfunctionPersonal assistant 3.0000000000034892 2.0164774825441998 1091.9999999576205028 1.49 0.13711
## partfunctionPhotographer 1.5000000000026916 1.8862419669565840 1091.9999999585052137 0.80 0.42665
## partfunctionPrinter Operator 1.0000000000014586 1.4258649020172838 1091.9999999585463684 0.70 0.48325
## partfunctionPrivate Education 0.5000000000026902 1.8862419669565844 1091.9999999585058958 0.27 0.79100
## partfunctionProduct Management -1.9999999999927327 2.6356011248361098 1091.9999999572933120 -0.76 0.44811
## partfunctionProgram Management -0.9999999999927399 2.7611755097251218 1091.9999999582623786 -0.36 0.71730
## partfunctionProject Management -2.9999999999926490 2.6675489715850182 1091.9999999601732270 -1.12 0.26099
## partfunctionProperty technician 1.0000000000034923 2.0164774825442007 1091.9999999576218670 0.50 0.62005
## partfunctionPublic Relations -0.9999999999927435 2.7611755097251067 1091.9999999643848696 -0.36 0.71730
## partfunctionPurchasing agent -3.9999999999935940 2.8517298040328347 1091.9999999674848823 -1.40 0.16100
## partfunctionResearch development -0.9999999999927363 2.7611755097251098 1091.9999999570375167 -0.36 0.71730
## partfunctionSales -1.8333333333261690 2.6032612359635139 1091.9999999612152806 -0.70 0.48143
## partfunctionSchool Safety -1.9999999999936002 2.8517298040328316 1091.9999999536955784 -0.70 0.48325
## partfunctionSchool/Education -2.9999999999942073 2.4696704550220203 1091.9999999551025667 -1.21 0.22473
## partfunctionscientific research consulting 0.0000000000014546 1.4258649020172847 1091.9999999585490968 0.00 1.00000
## partfunctionScientist 2.0000000000065614 2.8517298040329608 1091.9999999676781499 0.70 0.48325
## partfunctionSenior Scientist -0.9999999999927942 2.8517298040328054 1091.9999999559877324 -0.35 0.72591
## partfunctionSkilled tradesman -0.4999999999973112 1.8862419669565869 1091.9999999572189608 -0.27 0.79100
## partfunctionSocial worker -2.9999999999942020 2.4696704550220181 1091.9999999657954959 -1.21 0.22473
## partfunctionSoftware Engineering -0.9999999999932507 2.4696704550211339 1091.9999999612630290 -0.40 0.68562
## partfunctionSpecial Education Paraprofessional -1.0833333333278732 2.9824104168877454 1091.9999999600390765 -0.36 0.71650
## partfunctionState infrastructure -3.9999999999936051 2.8517298040328329 1091.9999999559590833 -1.40 0.16100
## partfunctionSupport students with IEPs -0.9999999999927393 2.7611755097251138 1091.9999999570820819 -0.36 0.71730
## partfunctionTeach High Shcool 3.0000000000034914 2.0164774825441980 1091.9999999576875780 1.49 0.13711
## partfunctionteacher -1.9999999999927818 2.8517298040328027 1091.9999999536507858 -0.70 0.48325
## partfunctionTeacher 0.0000000000046463 2.0164774825437473 1091.9999999682343059 0.00 1.00000
## partfunctionTeacher 0.0000000000014584 1.4258649020172818 1091.9999999585404566 0.00 1.00000
## partfunctionTeacher assistant -0.9999999999936009 2.8517298040328325 1091.9999999559586286 -0.35 0.72591
## partfunctionTeaching 0.9166666666721273 2.9824104168877463 1091.9999999601045602 0.31 0.75863
## partfunctionTeaching English -1.9999999999936018 2.8517298040328320 1091.9999999536960331 -0.70 0.48325
## partfunctiontechnical writer -1.0833333333278741 2.9824104168877472 1091.9999999601059244 -0.36 0.71650
## partfunctionTo do manual labor and greet customers -0.0833333333254230 3.6700444155447940 1091.9999999613253294 -0.02 0.98189
## partfunctiontranscription 0.5000000000026946 1.8862419669565855 1091.9999999585086243 0.27 0.79100
## partfunctionTutor/teacher 2.0000000000014593 1.4258649020172840 1091.9999999701408342 1.40 0.16100
## partfunctionVolunteer -2.9999999999927391 2.7611755097251134 1091.9999999570813998 -1.09 0.27750
## partfunctionWarehouse worker -2.9999999999941953 2.4696704550220172 1091.9999999657943590 -1.21 0.22473
## partfunctionwarehousing 0.5000000000026867 1.8862419669565853 1091.9999999585079422 0.27 0.79100
## partfunctionWorker -0.0833333333278761 2.9824104168877463 1091.9999999600399860 -0.03 0.97771
## sortOrder3 -0.9999999999985392 1.2348352275114363 1091.9999999565629878 -0.81 0.41822
## sortOrder2 -2.9166666666648640 1.8176282397832821 1091.9999999620467861 -1.60 0.10886
## sortOrder4 1.9166666666673640 2.3101651752338150 1091.9999999609538008 0.83 0.40691
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 2.1666666666692214 3.1076005075175646 1091.9999999563101483 0.70 0.48582
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 3.5833333333351831 3.1076005075175264 1091.9999999562562607 1.15 0.24913
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 1.9166666666674175 3.1076005075171849 1091.9999999654796738 0.62 0.53752
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 6.4999999999960938 3.1883308476409518 1091.9999999557217052 2.04 0.04172 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.4999999999957845 3.1883308476403118 1091.9999999566537099 0.47 0.63812
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 1.9999999999949827 3.1883308476407359 1091.9999999572344223 0.63 0.53060
## pers_simplifiedM2(JA):partfunctionAccount Management -0.5000000000040352 2.6675489715873044 1091.9999999585045316 -0.19 0.85135
## pers_simplifiedW1(MC):partfunctionAccount Management -1.5000000000034694 2.6675489715872533 1091.9999999584210855 -0.56 0.57402
## pers_simplifiedW2(LM):partfunctionAccount Management -0.0000000000031173 2.6675489715872613 1091.9999999584340458 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionAccounting 6.9999999999920854 3.7724839339113143 1091.9999999551057499 1.86 0.06379 .
## pers_simplifiedW1(MC):partfunctionAccounting 2.9999999999923421 3.7724839339105278 1091.9999999621120423 0.80 0.42665
## pers_simplifiedW2(LM):partfunctionAccounting 1.9999999999918885 3.7724839339112868 1091.9999999551137080 0.53 0.59611
## pers_simplifiedM2(JA):partfunctionAdministrative Assistant 4.9999999999931370 4.0329549650878347 1091.9999999686026513 1.24 0.21532
## pers_simplifiedW1(MC):partfunctionAdministrative Assistant 1.9999999999932183 4.0329549650871908 1091.9999999541203124 0.50 0.62005
## pers_simplifiedW2(LM):partfunctionAdministrative Assistant 0.9999999999929293 4.0329549650877921 1091.9999999569618012 0.25 0.80421
## pers_simplifiedM2(JA):partfunctionAdministrative services 6.3333333333254238 3.7273028557503149 1091.9999999588219453 1.70 0.08957 .
## pers_simplifiedW1(MC):partfunctionAdministrative services 0.6666666666590375 3.7273028557495249 1091.9999999578956249 0.18 0.85808
## pers_simplifiedW2(LM):partfunctionAdministrative services 0.9999999999919015 3.7273028557502821 1091.9999999600659066 0.27 0.78853
## pers_simplifiedM2(JA):partfunctionassistant manger 6.8333333333228490 5.1902265869755508 1091.9999999617161848 1.32 0.18826
## pers_simplifiedW1(MC):partfunctionassistant manger -0.5833333333428612 5.1902265869749327 1091.9999999611950443 -0.11 0.91053
## pers_simplifiedW2(LM):partfunctionassistant manger 2.0833333333244544 5.1902265869752338 1091.9999999614492481 0.40 0.68821
## pers_simplifiedM2(JA):partfunctionBook editor -1.5000000000040303 2.6675489715872942 1091.9999999584883881 -0.56 0.57402
## pers_simplifiedW1(MC):partfunctionBook editor -0.5000000000034650 2.6675489715872427 1091.9999999584035777 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionBook editor -0.0000000000031163 2.6675489715872511 1091.9999999584572379 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionBusiness Development 4.3333333333289570 4.2177652601265390 1091.9999999485680746 1.03 0.30446
## pers_simplifiedW1(MC):partfunctionBusiness Development 0.2499999999951467 4.2177652601259767 1091.9999999605881840 0.06 0.95275
## pers_simplifiedW2(LM):partfunctionBusiness Development -0.2500000000058849 4.2177652601264537 1091.9999999610827217 -0.06 0.95275
## pers_simplifiedM2(JA):partfunctionCase manager 3.9999999999925211 4.0329549650879084 1091.9999999571589342 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionCase manager -0.0000000000072429 4.0329549650871996 1091.9999999679148459 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionCase manager -0.0000000000072799 4.0329549650877947 1091.9999999569647571 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionchildcare -1.5000000000040286 2.6675489715872915 1091.9999999584838406 -0.56 0.57402
## pers_simplifiedW1(MC):partfunctionchildcare -0.5000000000034638 2.6675489715872387 1091.9999999583972112 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionchildcare -0.0000000000031168 2.6675489715872480 1091.9999999584124453 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionCivil Engineering -1.6666666666710430 4.2177652601265168 1091.9999999611482053 -0.40 0.69281
## pers_simplifiedW1(MC):partfunctionCivil Engineering -2.7500000000048610 4.2177652601259457 1091.9999999479528014 -0.65 0.51454
## pers_simplifiedW2(LM):partfunctionCivil Engineering -3.2500000000058988 4.2177652601264404 1091.9999999610688519 -0.77 0.44114
## pers_simplifiedM2(JA):partfunctioncollege educator 3.9999999999925255 4.0329549650879102 1091.9999999570902673 0.99 0.32150
## pers_simplifiedW1(MC):partfunctioncollege educator -0.0000000000072366 4.0329549650872032 1091.9999999563945039 0.00 1.00000
## pers_simplifiedW2(LM):partfunctioncollege educator -0.0000000000072739 4.0329549650877956 1091.9999999569661213 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionCommunications 3.9999999999920490 3.9048918539469755 1091.9999999584335910 1.02 0.30589
## pers_simplifiedW1(MC):partfunctionCommunications -0.0000000000076951 3.9048918539462250 1091.9999999576316441 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionCommunications -0.0000000000081432 3.9048918539469484 1091.9999999584035777 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionConstruction 4.9999999999920828 3.9048918539469746 1091.9999999584326815 1.28 0.20066
## pers_simplifiedW1(MC):partfunctionConstruction 0.9999999999923261 3.9048918539462161 1091.9999999588274022 0.26 0.79793
## pers_simplifiedW2(LM):partfunctionConstruction 1.9999999999918701 3.9048918539469430 1091.9999999596038833 0.51 0.60863
## pers_simplifiedM2(JA):partfunctionConstruction, system management 0.3333333333289390 4.2177652601265292 1091.9999999611609383 0.08 0.93702
## pers_simplifiedW1(MC):partfunctionConstruction, system management 1.2499999999951215 4.2177652601259599 1091.9999999605706762 0.30 0.76701
## pers_simplifiedW2(LM):partfunctionConstruction, system management -1.2500000000059108 4.2177652601264519 1091.9999999610802206 -0.30 0.76701
## pers_simplifiedM2(JA):partfunctionConsultant 1.9999999999982498 2.0164774825446785 1091.9999999586577815 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionConsultant 0.9999999999982997 2.0164774825446536 1091.9999999586034392 0.50 0.62005
## pers_simplifiedW2(LM):partfunctionConsultant 0.9999999999982969 2.0164774825446821 1091.9999999586659669 0.50 0.62005
## pers_simplifiedM2(JA):partfunctioncopywriter 1.9999999999982487 2.0164774825446790 1091.9999999586586910 0.99 0.32150
## pers_simplifiedW1(MC):partfunctioncopywriter -2.0000000000017044 2.0164774825446536 1091.9999999586038939 -0.99 0.32150
## pers_simplifiedW2(LM):partfunctioncopywriter -0.0000000000017060 2.0164774825446821 1091.9999999587355433 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionCustomer Experience/Support 3.8333333333269874 4.4140441836479996 1091.9999999574074536 0.87 0.38534
## pers_simplifiedW1(MC):partfunctionCustomer Experience/Support 1.7499999999936804 4.4140441836472810 1091.9999999567546638 0.40 0.69184
## pers_simplifiedW2(LM):partfunctionCustomer Experience/Support 0.7499999999929592 4.4140441836479791 1091.9999999574461071 0.17 0.86511
## pers_simplifiedM2(JA):partfunctionData Analysis -1.1666666666733514 4.5089807260656283 1091.9999999568410658 -0.26 0.79588
## pers_simplifiedW1(MC):partfunctionData Analysis 2.4999999999934084 4.5089807260649364 1091.9999999544181719 0.55 0.57939
## pers_simplifiedW2(LM):partfunctionData Analysis -0.0000000000072662 4.5089807260656398 1091.9999999550996108 0.00 1.00000
## pers_simplifiedM2(JA):partfunctiondATA COLLECTION 4.9999999999925233 4.0329549650879066 1091.9999999571564331 1.24 0.21532
## pers_simplifiedW1(MC):partfunctiondATA COLLECTION -1.0000000000072358 4.0329549650871979 1091.9999999679118901 -0.25 0.80421
## pers_simplifiedW2(LM):partfunctiondATA COLLECTION -0.0000000000072758 4.0329549650877921 1091.9999999685564944 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionData Processing 5.8333333333228490 5.1902265869755535 1091.9999999630836101 1.12 0.26130
## pers_simplifiedW1(MC):partfunctionData Processing 1.4166666666571446 5.1902265869749336 1091.9999999611964085 0.27 0.78494
## pers_simplifiedW2(LM):partfunctionData Processing 1.0833333333244588 5.1902265869752329 1091.9999999531255526 0.21 0.83470
## pers_simplifiedM2(JA):partfunctionDesign 1.9999999999925298 4.0329549650879066 1091.9999999571564331 0.50 0.62005
## pers_simplifiedW1(MC):partfunctionDesign -4.0000000000072324 4.0329549650871988 1091.9999999679139364 -0.99 0.32150
## pers_simplifiedW2(LM):partfunctionDesign -2.0000000000072711 4.0329549650877929 1091.9999999685574039 -0.50 0.62005
## pers_simplifiedM2(JA):partfunctionDesign or creative services 8.9999999999921005 3.7724839339113063 1091.9999999630138063 2.39 0.01722 *
## pers_simplifiedW1(MC):partfunctionDesign or creative services 2.9999999999923332 3.7724839339105043 1091.9999999542483238 0.80 0.42665
## pers_simplifiedW2(LM):partfunctionDesign or creative services 3.9999999999918856 3.7724839339112735 1091.9999999550984739 1.06 0.28924
## pers_simplifiedM2(JA):partfunctionDisaster restoration 4.9999999999920668 3.9048918539469719 1091.9999999596361704 1.28 0.20066
## pers_simplifiedW1(MC):partfunctionDisaster restoration -1.0000000000076792 3.9048918539462147 1091.9999999588260380 -0.26 0.79793
## pers_simplifiedW2(LM):partfunctionDisaster restoration -0.0000000000081328 3.9048918539469417 1091.9999999596020643 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionEducation 4.9999999999920917 3.9048918539469750 1091.9999999584331363 1.28 0.20066
## pers_simplifiedW1(MC):partfunctionEducation -1.0000000000076625 3.9048918539462183 1091.9999999575863967 -0.26 0.79793
## pers_simplifiedW2(LM):partfunctionEducation -0.0000000000081163 3.9048918539469439 1091.9999999596047928 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionEducation -1.5000000000040217 2.6675489715872929 1091.9999999584863417 -0.56 0.57402
## pers_simplifiedW1(MC):partfunctionEducation -0.5000000000034621 2.6675489715872405 1091.9999999583999397 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionEducation -0.0000000000031140 2.6675489715872494 1091.9999999584149464 0.00 1.00000
## pers_simplifiedM2(JA):partfunctioneducation administration 5.9999999999933982 3.4926414520850209 1091.9999999574977210 1.72 0.08610 .
## pers_simplifiedW1(MC):partfunctioneducation administration 1.9999999999935525 3.4926414520845550 1091.9999999554067927 0.57 0.56701
## pers_simplifiedW2(LM):partfunctioneducation administration 3.9999999999934941 3.4926414520850164 1091.9999999575391030 1.15 0.25235
## pers_simplifiedM2(JA):partfunctionEducational instructor 0.3333333333289336 4.2177652601265256 1091.9999999611573003 0.08 0.93702
## pers_simplifiedW1(MC):partfunctionEducational instructor 1.2499999999951186 4.2177652601259572 1091.9999999605681751 0.30 0.76701
## pers_simplifiedW2(LM):partfunctionEducational instructor -1.2500000000059117 4.2177652601264501 1091.9999999610788564 -0.30 0.76701
## pers_simplifiedM2(JA):partfunctionElectrical Engineering 4.9999999999920632 3.9048918539469679 1091.9999999596316229 1.28 0.20066
## pers_simplifiedW1(MC):partfunctionElectrical Engineering -1.0000000000076834 3.9048918539462112 1091.9999999576161827 -0.26 0.79793
## pers_simplifiedW2(LM):partfunctionElectrical Engineering -0.0000000000081349 3.9048918539469386 1091.9999999595988811 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionElectrical maintenance -1.5000000000040257 2.6675489715872911 1091.9999999584831585 -0.56 0.57402
## pers_simplifiedW1(MC):partfunctionElectrical maintenance -0.5000000000034617 2.6675489715872374 1091.9999999662718437 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionElectrical maintenance -0.0000000000031163 2.6675489715872467 1091.9999999584101715 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionEmployee 0.9999999999934008 3.4926414520850200 1091.9999999574965841 0.29 0.77469
## pers_simplifiedW1(MC):partfunctionEmployee -0.0000000000064484 3.4926414520845541 1091.9999999554058832 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionEmployee -1.0000000000065066 3.4926414520850160 1091.9999999575384209 -0.29 0.77469
## pers_simplifiedM2(JA):partfunctionEntertainment 3.9999999999925149 4.0329549650879102 1091.9999999571605258 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionEntertainment -0.0000000000072423 4.0329549650872014 1091.9999999541316811 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionEntertainment -0.0000000000072816 4.0329549650877947 1091.9999999569652118 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionEnvironmental science and remediation services -0.6666666666710696 4.2177652601265292 1091.9999999611609383 -0.16 0.87444
## pers_simplifiedW1(MC):partfunctionEnvironmental science and remediation services -3.7500000000048841 4.2177652601259608 1091.9999999605720404 -0.89 0.37415
## pers_simplifiedW2(LM):partfunctionEnvironmental science and remediation services -3.2500000000059153 4.2177652601264519 1091.9999999610806753 -0.77 0.44114
## pers_simplifiedM2(JA):partfunctionEverything- hiring, firing, operations, purchases for company and office . 0.9999999999933957 3.4926414520850222 1091.9999999574995400 0.29 0.77469
## pers_simplifiedW1(MC):partfunctionEverything- hiring, firing, operations, purchases for company and office . -2.0000000000064504 3.4926414520845577 1091.9999999554574970 -0.57 0.56701
## pers_simplifiedW2(LM):partfunctionEverything- hiring, firing, operations, purchases for company and office . 0.9999999999934911 3.4926414520850182 1091.9999999666845270 0.29 0.77469
## pers_simplifiedM2(JA):partfunctionFaculty 1.9999999999982496 2.0164774825446776 1091.9999999586557351 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionFaculty 0.9999999999982966 2.0164774825446519 1091.9999999586004833 0.50 0.62005
## pers_simplifiedW2(LM):partfunctionFaculty 0.9999999999982949 2.0164774825446812 1091.9999999586636932 0.50 0.62005
## pers_simplifiedM2(JA):partfunctionFinancial services 0.8333333333266564 4.3365987996271889 1091.9999999629553713 0.19 0.84765
## pers_simplifiedW1(MC):partfunctionFinancial services 0.2499999999933375 4.3365987996264517 1091.9999999622739324 0.06 0.95404
## pers_simplifiedW2(LM):partfunctionFinancial services -1.7500000000073366 4.3365987996271951 1091.9999999510393991 -0.40 0.68663
## pers_simplifiedM2(JA):partfunctionFireplace Installer 2.3333333333289321 4.2177652601265283 1091.9999999611600288 0.55 0.58023
## pers_simplifiedW1(MC):partfunctionFireplace Installer -2.7500000000048850 4.2177652601259590 1091.9999999605702214 -0.65 0.51454
## pers_simplifiedW2(LM):partfunctionFireplace Installer -3.2500000000059170 4.2177652601264510 1091.9999999610793111 -0.77 0.44114
## pers_simplifiedM2(JA):partfunctionFood delivery 4.9999999999931388 4.0329549650878320 1091.9999999548153937 1.24 0.21532
## pers_simplifiedW1(MC):partfunctionFood delivery -1.0000000000067819 4.0329549650871899 1091.9999999563801794 -0.25 0.80421
## pers_simplifiedW2(LM):partfunctionFood delivery -0.0000000000070678 4.0329549650877894 1091.9999999570295586 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionForman -0.0000000000017511 2.0164774825446781 1091.9999999586573267 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionForman -0.0000000000017034 2.0164774825446528 1091.9999999586023023 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionForman -0.0000000000017061 2.0164774825446821 1091.9999999586655122 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionFreelance gigworker 5.9999999999933928 3.4926414520850200 1091.9999999666863459 1.72 0.08610 .
## pers_simplifiedW1(MC):partfunctionFreelance gigworker 1.9999999999935512 3.4926414520845550 1091.9999999554067927 0.57 0.56701
## pers_simplifiedW2(LM):partfunctionFreelance gigworker 3.9999999999934923 3.4926414520850155 1091.9999999575379661 1.15 0.25235
## pers_simplifiedM2(JA):partfunctiongas fitter 2.9999999999982414 2.0164774825446785 1091.9999999586582362 1.49 0.13711
## pers_simplifiedW1(MC):partfunctiongas fitter -0.0000000000017016 2.0164774825446532 1091.9999999586032118 0.00 1.00000
## pers_simplifiedW2(LM):partfunctiongas fitter 0.9999999999982950 2.0164774825446825 1091.9999999586668764 0.50 0.62005
## pers_simplifiedM2(JA):partfunctionGeological lab testing -0.0000000000043204 2.8517298040342380 1091.9999999580415988 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionGeological lab testing -0.0000000000040092 2.8517298040340524 1091.9999999577566996 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionGeological lab testing -0.0000000000039355 2.8517298040342305 1091.9999999581007160 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionGrocery Management 3.9999999999933897 3.4926414520850213 1091.9999999574984031 1.15 0.25235
## pers_simplifiedW1(MC):partfunctionGrocery Management 3.9999999999935492 3.4926414520845568 1091.9999999554565875 1.15 0.25235
## pers_simplifiedW2(LM):partfunctionGrocery Management 3.9999999999934910 3.4926414520850173 1091.9999999575402398 1.15 0.25235
## pers_simplifiedM2(JA):partfunctionGrocery Sales -0.0000000000017512 2.0164774825446781 1091.9999999586573267 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionGrocery Sales -0.0000000000016996 2.0164774825446528 1091.9999999586023023 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionGrocery Sales -0.0000000000017048 2.0164774825446821 1091.9999999586659669 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionHealthcare 8.9999999999919709 3.7724839339112290 1091.9999999550070697 2.39 0.01722 *
## pers_simplifiedW1(MC):partfunctionHealthcare 3.4999999999922435 3.7724839339104337 1091.9999999541257694 0.93 0.35373
## pers_simplifiedW2(LM):partfunctionHealthcare 3.4999999999917577 3.7724839339111700 1091.9999999549788754 0.93 0.35373
## pers_simplifiedM2(JA):partfunctionHomehealth Manager 6.9999999999919673 4.0329549650877849 1091.9999999570247837 1.74 0.08290 .
## pers_simplifiedW1(MC):partfunctionHomehealth Manager 2.9999999999921432 4.0329549650871375 1091.9999999540621047 0.74 0.45711
## pers_simplifiedW2(LM):partfunctionHomehealth Manager 5.9999999999917764 4.0329549650877379 1091.9999999569031388 1.49 0.13711
## pers_simplifiedM2(JA):partfunctionHuman Resources 4.3333333333253927 3.7273028557503167 1091.9999999588235369 1.16 0.24525
## pers_simplifiedW1(MC):partfunctionHuman Resources 0.3333333333256460 3.7273028557495183 1091.9999999579292762 0.09 0.92876
## pers_simplifiedW2(LM):partfunctionHuman Resources 0.6666666666585306 3.7273028557502905 1091.9999999587516868 0.18 0.85808
## pers_simplifiedM2(JA):partfunctionI am the rental property owner/manager. -0.0000000000043222 2.8517298040342403 1091.9999999580452368 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionI am the rental property owner/manager. -0.0000000000040091 2.8517298040340551 1091.9999999578315055 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionI am the rental property owner/manager. -0.0000000000039366 2.8517298040342327 1091.9999999580338681 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionI an associate. -0.5000000000040289 2.6675489715872938 1091.9999999584872512 -0.19 0.85135
## pers_simplifiedW1(MC):partfunctionI an associate. -1.5000000000034621 2.6675489715872414 1091.9999999584015313 -0.56 0.57402
## pers_simplifiedW2(LM):partfunctionI an associate. -0.0000000000031150 2.6675489715872502 1091.9999999584163106 0.00 1.00000
## pers_simplifiedM2(JA):partfunctioni'm a small business owner -- sole proprietorship that provides tutoring and academic consulting 5.9999999999933911 3.4926414520850200 1091.9999999574970388 1.72 0.08610 .
## pers_simplifiedW1(MC):partfunctioni'm a small business owner -- sole proprietorship that provides tutoring and academic consulting 1.9999999999935518 3.4926414520845537 1091.9999999554054284 0.57 0.56701
## pers_simplifiedW2(LM):partfunctioni'm a small business owner -- sole proprietorship that provides tutoring and academic consulting 3.9999999999934959 3.4926414520850160 1091.9999999575384209 1.15 0.25235
## pers_simplifiedM2(JA):partfunctionindividual contributor -3.0000000000043188 2.8517298040342389 1091.9999999580425083 -1.05 0.29304
## pers_simplifiedW1(MC):partfunctionindividual contributor -3.0000000000040057 2.8517298040340537 1091.9999999577589733 -1.05 0.29304
## pers_simplifiedW2(LM):partfunctionindividual contributor -6.0000000000039355 2.8517298040342314 1091.9999999580313670 -2.10 0.03561 *
## pers_simplifiedM2(JA):partfunctionInformation Networking -0.6666666666710658 4.2177652601265292 1091.9999999611609383 -0.16 0.87444
## pers_simplifiedW1(MC):partfunctionInformation Networking -1.7500000000048803 4.2177652601259599 1091.9999999605713583 -0.41 0.67829
## pers_simplifiedW2(LM):partfunctionInformation Networking -5.2500000000059135 4.2177652601264510 1091.9999999610793111 -1.24 0.21350
## pers_simplifiedM2(JA):partfunctionInformation Security 7.4999999999920570 3.7724839339113037 1091.9999999551332621 1.99 0.04705 *
## pers_simplifiedW1(MC):partfunctionInformation Security 1.9999999999923186 3.7724839339105189 1091.9999999542649221 0.53 0.59611
## pers_simplifiedW2(LM):partfunctionInformation Security 2.4999999999918665 3.7724839339112735 1091.9999999550984739 0.66 0.50767
## pers_simplifiedM2(JA):partfunctionInformation Technology (IT) 8.3333333333251698 3.7273028557502852 1091.9999999601100171 2.24 0.02557 *
## pers_simplifiedW1(MC):partfunctionInformation Technology (IT) 3.9999999999921139 3.7273028557495040 1091.9999999578710685 1.07 0.28344
## pers_simplifiedW2(LM):partfunctionInformation Technology (IT) 2.3333333333249917 3.7273028557502785 1091.9999999587375896 0.63 0.53144
## pers_simplifiedM2(JA):partfunctionjanitor/cleaner 3.3333333333289326 4.2177652601265265 1091.9999999611577550 0.79 0.42952
## pers_simplifiedW1(MC):partfunctionjanitor/cleaner -1.7500000000048865 4.2177652601259572 1091.9999999605684025 -0.41 0.67829
## pers_simplifiedW2(LM):partfunctionjanitor/cleaner -1.2500000000059182 4.2177652601264475 1091.9999999610763552 -0.30 0.76701
## pers_simplifiedM2(JA):partfunctionLegal services 3.9999999999920712 3.9048918539469755 1091.9999999584338184 1.02 0.30589
## pers_simplifiedW1(MC):partfunctionLegal services -0.0000000000076784 3.9048918539462116 1091.9999999576168648 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionLegal services -0.0000000000081324 3.9048918539469324 1091.9999999583858425 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionLibrary Assistant 5.9999999999933928 3.4926414520850182 1091.9999999666845270 1.72 0.08610 .
## pers_simplifiedW1(MC):partfunctionLibrary Assistant 1.9999999999935474 3.4926414520845537 1091.9999999554054284 0.57 0.56701
## pers_simplifiedW2(LM):partfunctionLibrary Assistant 3.9999999999934892 3.4926414520850146 1091.9999999560288870 1.15 0.25235
## pers_simplifiedM2(JA):partfunctionlibrary worker 7.9999999999931370 4.0329549650878329 1091.9999999570061391 1.98 0.04754 *
## pers_simplifiedW1(MC):partfunctionlibrary worker 3.9999999999932152 4.0329549650871890 1091.9999999541178113 0.99 0.32150
## pers_simplifiedW2(LM):partfunctionlibrary worker 3.9999999999929310 4.0329549650877894 1091.9999999569595275 0.99 0.32150
## pers_simplifiedM2(JA):partfunctionmaintenance manager 9.9999999999920668 3.9048918539469715 1091.9999999596354883 2.56 0.01057 *
## pers_simplifiedW1(MC):partfunctionmaintenance manager 2.9999999999923213 3.9048918539462134 1091.9999999588246737 0.77 0.44249
## pers_simplifiedW2(LM):partfunctionmaintenance manager 2.9999999999918678 3.9048918539469417 1091.9999999596022917 0.77 0.44249
## pers_simplifiedM2(JA):partfunctionmaintenance mechanic 3.9999999999919651 4.0329549650877876 1091.9999999570281943 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionmaintenance mechanic -0.0000000000078526 4.0329549650871401 1091.9999999540650606 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionmaintenance mechanic -0.0000000000082254 4.0329549650877405 1091.9999999569065494 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionManagement 1.9999999999982512 2.0164774825446781 1091.9999999586573267 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionManagement 0.9999999999982992 2.0164774825446528 1091.9999999586018475 0.50 0.62005
## pers_simplifiedW2(LM):partfunctionManagement 0.9999999999982960 2.0164774825446830 1091.9999999586673312 0.50 0.62005
## pers_simplifiedM2(JA):partfunctionmanager 4.9999999999920650 3.9048918539469719 1091.9999999596359430 1.28 0.20066
## pers_simplifiedW1(MC):partfunctionmanager -1.0000000000076763 3.9048918539462143 1091.9999999588258106 -0.26 0.79793
## pers_simplifiedW2(LM):partfunctionmanager -0.0000000000081331 3.9048918539469430 1091.9999999596036560 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionManual Laborer 3.9999999999919629 4.0329549650877858 1091.9999999570261480 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionManual Laborer -0.0000000000078505 4.0329549650871392 1091.9999999563256097 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionManual Laborer -0.0000000000082227 4.0329549650877397 1091.9999999569056399 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionManufacturing -1.0000000000043161 2.8517298040342380 1091.9999999580409167 -0.35 0.72591
## pers_simplifiedW1(MC):partfunctionManufacturing 0.9999999999959901 2.8517298040340529 1091.9999999555666363 0.35 0.72591
## pers_simplifiedW2(LM):partfunctionManufacturing -0.0000000000039373 2.8517298040342314 1091.9999999580313670 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionMarketing -1.6666666666710972 4.2177652601265718 1091.9999999612043666 -0.40 0.69281
## pers_simplifiedW1(MC):partfunctionMarketing -2.7500000000049152 4.2177652601259998 1091.9999999606127403 -0.65 0.51454
## pers_simplifiedW2(LM):partfunctionMarketing -3.2500000000059517 4.2177652601264946 1091.9999999611252406 -0.77 0.44114
## pers_simplifiedM2(JA):partfunctionMechanical Engineering -3.1666666666734460 4.6750107194674637 1091.9999999602580374 -0.68 0.49832
## pers_simplifiedW1(MC):partfunctionMechanical Engineering -4.7500000000067129 4.6750107194667656 1091.9999999596054749 -1.02 0.30984
## pers_simplifiedW2(LM):partfunctionMechanical Engineering -1.7500000000073761 4.6750107194674744 1091.9999999602673597 -0.37 0.70823
## pers_simplifiedM2(JA):partfunctionMedia Clerk 4.9999999999919700 4.0329549650877867 1091.9999999570272848 1.24 0.21532
## pers_simplifiedW1(MC):partfunctionMedia Clerk -1.0000000000078471 4.0329549650871392 1091.9999999563256097 -0.25 0.80421
## pers_simplifiedW2(LM):partfunctionMedia Clerk -0.0000000000082204 4.0329549650877397 1091.9999999569051852 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionOperations 6.5999999999920362 3.6631132584315069 1091.9999999615474735 1.80 0.07186 .
## pers_simplifiedW1(MC):partfunctionOperations 0.9999999999922926 3.6631132584306965 1091.9999999592093900 0.27 0.78491
## pers_simplifiedW2(LM):partfunctionOperations 1.5999999999918502 3.6631132584314678 1091.9999999531460162 0.44 0.66235
## pers_simplifiedM2(JA):partfunctionPackage delivery 3.9999999999919549 4.0329549650877867 1091.9999999570272848 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionPackage delivery -0.0000000000078525 4.0329549650871401 1091.9999999563265192 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionPackage delivery -0.0000000000082261 4.0329549650877414 1091.9999999685014700 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionPatient recruitment -1.0000000000043221 2.8517298040342380 1091.9999999580415988 -0.35 0.72591
## pers_simplifiedW1(MC):partfunctionPatient recruitment 0.9999999999959841 2.8517298040340533 1091.9999999555673185 0.35 0.72591
## pers_simplifiedW2(LM):partfunctionPatient recruitment -0.0000000000039434 2.8517298040342314 1091.9999999580313670 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionPersonal assistant -3.0000000000043170 2.8517298040342376 1091.9999999580402346 -1.05 0.29304
## pers_simplifiedW1(MC):partfunctionPersonal assistant -3.0000000000040119 2.8517298040340524 1091.9999999693511654 -1.05 0.29304
## pers_simplifiedW2(LM):partfunctionPersonal assistant -6.0000000000039391 2.8517298040342314 1091.9999999580313670 -2.10 0.03561 *
## pers_simplifiedM2(JA):partfunctionPhotographer -2.5000000000040230 2.6675489715872915 1091.9999999584836132 -0.94 0.34887
## pers_simplifiedW1(MC):partfunctionPhotographer -1.5000000000034668 2.6675489715872400 1091.9999999583994850 -0.56 0.57402
## pers_simplifiedW2(LM):partfunctionPhotographer -2.0000000000031193 2.6675489715872489 1091.9999999584140369 -0.75 0.45357
## pers_simplifiedM2(JA):partfunctionPrinter Operator -0.0000000000017541 2.0164774825446790 1091.9999999586586910 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionPrinter Operator -3.0000000000017066 2.0164774825446528 1091.9999999586018475 -1.49 0.13711
## pers_simplifiedW2(LM):partfunctionPrinter Operator -1.0000000000017100 2.0164774825446825 1091.9999999586668764 -0.50 0.62005
## pers_simplifiedM2(JA):partfunctionPrivate Education -1.5000000000040279 2.6675489715872929 1091.9999999584858870 -0.56 0.57402
## pers_simplifiedW1(MC):partfunctionPrivate Education -0.5000000000034653 2.6675489715872405 1091.9999999584003945 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionPrivate Education -0.0000000000031177 2.6675489715872494 1091.9999999584149464 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionProduct Management 5.9999999999920695 3.7273028557503483 1091.9999999588608262 1.61 0.10774
## pers_simplifiedW1(MC):partfunctionProduct Management 0.6666666666589830 3.7273028557495520 1091.9999999579270025 0.18 0.85808
## pers_simplifiedW2(LM):partfunctionProduct Management 1.3333333333251973 3.7273028557503141 1091.9999999588208084 0.36 0.72062
## pers_simplifiedM2(JA):partfunctionProgram Management 3.9999999999920748 3.9048918539469812 1091.9999999596464022 1.02 0.30589
## pers_simplifiedW1(MC):partfunctionProgram Management -0.0000000000076757 3.9048918539462232 1091.9999999649817255 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionProgram Management -0.0000000000081311 3.9048918539469475 1091.9999999584022135 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionProject Management 7.9999999999919726 3.7724839339112748 1091.9999999629771992 2.12 0.03418 *
## pers_simplifiedW1(MC):partfunctionProject Management 2.9999999999922169 3.7724839339104834 1091.9999999620604285 0.80 0.42665
## pers_simplifiedW2(LM):partfunctionProject Management 0.9999999999917687 3.7724839339112468 1091.9999999629444574 0.27 0.79100
## pers_simplifiedM2(JA):partfunctionProperty technician -0.0000000000043184 2.8517298040342389 1091.9999999580425083 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionProperty technician -2.0000000000040092 2.8517298040340533 1091.9999999577585186 -0.70 0.48325
## pers_simplifiedW2(LM):partfunctionProperty technician -2.0000000000039391 2.8517298040342318 1091.9999999580322765 -0.70 0.48325
## pers_simplifiedM2(JA):partfunctionPublic Relations 5.9999999999920792 3.9048918539469684 1091.9999999596318503 1.54 0.12470
## pers_simplifiedW1(MC):partfunctionPublic Relations -0.0000000000076739 3.9048918539462094 1091.9999999649660367 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionPublic Relations -2.0000000000081277 3.9048918539469377 1091.9999999596350335 -0.51 0.60863
## pers_simplifiedM2(JA):partfunctionPurchasing agent 6.9999999999931379 4.0329549650878356 1091.9999999570090949 1.74 0.08290 .
## pers_simplifiedW1(MC):partfunctionPurchasing agent 2.9999999999932210 4.0329549650871925 1091.9999999541216766 0.74 0.45711
## pers_simplifiedW2(LM):partfunctionPurchasing agent 5.9999999999929363 4.0329549650877938 1091.9999999569638476 1.49 0.13711
## pers_simplifiedM2(JA):partfunctionResearch development 3.9999999999920708 3.9048918539469688 1091.9999999596323050 1.02 0.30589
## pers_simplifiedW1(MC):partfunctionResearch development 0.9999999999923160 3.9048918539462116 1091.9999999576166374 0.26 0.79793
## pers_simplifiedW2(LM):partfunctionResearch development -1.0000000000081377 3.9048918539469391 1091.9999999595988811 -0.26 0.79793
## pers_simplifiedM2(JA):partfunctionSales 5.3333333333255535 3.6815673463011072 1091.9999999558306172 1.45 0.14772
## pers_simplifiedW1(MC):partfunctionSales 0.9999999999924504 3.6815673463002905 1091.9999999549033873 0.27 0.78596
## pers_simplifiedW2(LM):partfunctionSales 0.9999999999920055 3.6815673463010756 1091.9999999557935553 0.27 0.78596
## pers_simplifiedM2(JA):partfunctionSchool Safety 6.9999999999931468 4.0329549650878329 1091.9999999570065938 1.74 0.08290 .
## pers_simplifiedW1(MC):partfunctionSchool Safety -0.0000000000067831 4.0329549650871881 1091.9999999563788151 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionSchool Safety 0.9999999999929323 4.0329549650877912 1091.9999999569608917 0.25 0.80421
## pers_simplifiedM2(JA):partfunctionSchool/Education 5.9999999999934008 3.4926414520850249 1091.9999999559945536 1.72 0.08610 .
## pers_simplifiedW1(MC):partfunctionSchool/Education 1.9999999999935572 3.4926414520845586 1091.9999999554586338 0.57 0.56701
## pers_simplifiedW2(LM):partfunctionSchool/Education 3.9999999999934985 3.4926414520850191 1091.9999999666856638 1.15 0.25235
## pers_simplifiedM2(JA):partfunctionscientific research consulting -0.0000000000017562 2.0164774825446790 1091.9999999586591457 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionscientific research consulting -0.0000000000017045 2.0164774825446536 1091.9999999586746071 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionscientific research consulting -0.0000000000017065 2.0164774825446830 1091.9999999586677859 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionScientist 1.9999999999925107 4.0329549650879093 1091.9999999548988399 0.50 0.62005
## pers_simplifiedW1(MC):partfunctionScientist -4.0000000000072449 4.0329549650872005 1091.9999999563917754 -0.99 0.32150
## pers_simplifiedW2(LM):partfunctionScientist -6.0000000000072857 4.0329549650877947 1091.9999999685596777 -1.49 0.13711
## pers_simplifiedM2(JA):partfunctionSenior Scientist 3.9999999999919704 4.0329549650877894 1091.9999999547685547 0.99 0.32150
## pers_simplifiedW1(MC):partfunctionSenior Scientist -0.0000000000078486 4.0329549650871392 1091.9999999540646058 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionSenior Scientist -0.0000000000082183 4.0329549650877432 1091.9999999547185325 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionSkilled tradesman 2.4999999999959699 2.6675489715872942 1091.9999999584883881 0.94 0.34887
## pers_simplifiedW1(MC):partfunctionSkilled tradesman -0.5000000000034670 2.6675489715872431 1091.9999999584042598 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionSkilled tradesman -0.0000000000031186 2.6675489715872520 1091.9999999584190391 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionSocial worker 5.9999999999933911 3.4926414520850226 1091.9999999575002221 1.72 0.08610 .
## pers_simplifiedW1(MC):partfunctionSocial worker 1.9999999999935507 3.4926414520845568 1091.9999999554092938 0.57 0.56701
## pers_simplifiedW2(LM):partfunctionSocial worker 3.9999999999934923 3.4926414520850160 1091.9999999575384209 1.15 0.25235
## pers_simplifiedM2(JA):partfunctionSoftware Engineering 3.9999999999925251 3.4926414520841820 1091.9999999549879703 1.15 0.25235
## pers_simplifiedW1(MC):partfunctionSoftware Engineering -0.0000000000072799 3.4926414520834497 1091.9999999541189482 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionSoftware Engineering -0.0000000000075563 3.4926414520841367 1091.9999999549313543 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionSpecial Education Paraprofessional 4.3333333333289330 4.2177652601265283 1091.9999999611595740 1.03 0.30446
## pers_simplifiedW1(MC):partfunctionSpecial Education Paraprofessional 0.2499999999951173 4.2177652601259608 1091.9999999605715857 0.06 0.95275
## pers_simplifiedW2(LM):partfunctionSpecial Education Paraprofessional -0.2500000000059137 4.2177652601264519 1091.9999999610802206 -0.06 0.95275
## pers_simplifiedM2(JA):partfunctionState infrastructure 8.9999999999931433 4.0329549650878329 1091.9999999570061391 2.23 0.02584 *
## pers_simplifiedW1(MC):partfunctionState infrastructure 2.9999999999932236 4.0329549650871908 1091.9999999541203124 0.74 0.45711
## pers_simplifiedW2(LM):partfunctionState infrastructure 3.9999999999929416 4.0329549650877912 1091.9999999569613465 0.99 0.32150
## pers_simplifiedM2(JA):partfunctionSupport students with IEPs 3.9999999999920681 3.9048918539469741 1091.9999999584324542 1.02 0.30589
## pers_simplifiedW1(MC):partfunctionSupport students with IEPs -0.0000000000076839 3.9048918539462147 1091.9999999588262654 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionSupport students with IEPs -0.0000000000081381 3.9048918539469426 1091.9999999596034286 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionTeach High Shcool -4.0000000000043174 2.8517298040342367 1091.9999999580388703 -1.40 0.16100
## pers_simplifiedW1(MC):partfunctionTeach High Shcool -2.0000000000040079 2.8517298040340520 1091.9999999577566996 -0.70 0.48325
## pers_simplifiedW2(LM):partfunctionTeach High Shcool -6.0000000000039311 2.8517298040342305 1091.9999999580300027 -2.10 0.03561 *
## pers_simplifiedM2(JA):partfunctionteacher 4.9999999999919602 4.0329549650877849 1091.9999999570247837 1.24 0.21532
## pers_simplifiedW1(MC):partfunctionteacher 1.9999999999921498 4.0329549650871366 1091.9999999540614226 0.50 0.62005
## pers_simplifiedW2(LM):partfunctionteacher 0.9999999999917794 4.0329549650877388 1091.9999999569047304 0.25 0.80421
## pers_simplifiedM2(JA):partfunctionTeacher -0.0000000000054675 2.8517298040338752 1091.9999999574852154 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionTeacher -0.0000000000052318 2.8517298040335257 1091.9999999685444436 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionTeacher -0.0000000000052256 2.8517298040338734 1091.9999999575534275 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionTeacher -0.0000000000017570 2.0164774825446763 1091.9999999586534614 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionTeacher -0.0000000000017055 2.0164774825446510 1091.9999999585986643 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionTeacher -0.0000000000017079 2.0164774825446812 1091.9999999586636932 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionTeacher assistant 4.9999999999931397 4.0329549650878329 1091.9999999570065938 1.24 0.21532
## pers_simplifiedW1(MC):partfunctionTeacher assistant -2.0000000000067764 4.0329549650871890 1091.9999999541182660 -0.50 0.62005
## pers_simplifiedW2(LM):partfunctionTeacher assistant 0.9999999999929370 4.0329549650877921 1091.9999999685569492 0.25 0.80421
## pers_simplifiedM2(JA):partfunctionTeaching -0.6666666666710694 4.2177652601265283 1091.9999999611600288 -0.16 0.87444
## pers_simplifiedW1(MC):partfunctionTeaching -1.7500000000048812 4.2177652601259625 1091.9999999605734047 -0.41 0.67829
## pers_simplifiedW2(LM):partfunctionTeaching -1.2500000000059137 4.2177652601264519 1091.9999999610806753 -0.30 0.76701
## pers_simplifiedM2(JA):partfunctionTeaching English 6.9999999999931433 4.0329549650878329 1091.9999999570061391 1.74 0.08290 .
## pers_simplifiedW1(MC):partfunctionTeaching English -1.0000000000067804 4.0329549650871908 1091.9999999541203124 -0.25 0.80421
## pers_simplifiedW2(LM):partfunctionTeaching English 1.9999999999929343 4.0329549650877912 1091.9999999685555849 0.50 0.62005
## pers_simplifiedM2(JA):partfunctiontechnical writer 3.3333333333289339 4.2177652601265310 1091.9999999611623025 0.79 0.42952
## pers_simplifiedW1(MC):partfunctiontechnical writer 0.2499999999951191 4.2177652601259634 1091.9999999605745415 0.06 0.95275
## pers_simplifiedW2(LM):partfunctiontechnical writer 0.7499999999940864 4.2177652601264528 1091.9999999610820396 0.18 0.85890
## pers_simplifiedM2(JA):partfunctionTo do manual labor and greet customers 2.8333333333228454 5.1902265869755544 1091.9999999617191406 0.55 0.58525
## pers_simplifiedW1(MC):partfunctionTo do manual labor and greet customers -2.5833333333428610 5.1902265869749336 1091.9999999611964085 -0.50 0.61877
## pers_simplifiedW2(LM):partfunctionTo do manual labor and greet customers 0.0833333333244546 5.1902265869752355 1091.9999999614503849 0.02 0.98719
## pers_simplifiedM2(JA):partfunctiontranscription -0.5000000000040299 2.6675489715872929 1091.9999999584863417 -0.19 0.85135
## pers_simplifiedW1(MC):partfunctiontranscription -1.5000000000034648 2.6675489715872414 1091.9999999584015313 -0.56 0.57402
## pers_simplifiedW2(LM):partfunctiontranscription -0.0000000000031207 2.6675489715872502 1091.9999999584158559 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionTutor/teacher -2.0000000000017577 2.0164774825446790 1091.9999999586586910 -0.99 0.32150
## pers_simplifiedW1(MC):partfunctionTutor/teacher -3.0000000000017035 2.0164774825446532 1091.9999999586027570 -1.49 0.13711
## pers_simplifiedW2(LM):partfunctionTutor/teacher -3.0000000000017080 2.0164774825446825 1091.9999999586668764 -1.49 0.13711
## pers_simplifiedM2(JA):partfunctionVolunteer 5.9999999999920597 3.9048918539469732 1091.9999999596375346 1.54 0.12470
## pers_simplifiedW1(MC):partfunctionVolunteer 3.9999999999923204 3.9048918539462170 1091.9999999576225491 1.02 0.30589
## pers_simplifiedW2(LM):partfunctionVolunteer 1.9999999999918663 3.9048918539469430 1091.9999999596038833 0.51 0.60863
## pers_simplifiedM2(JA):partfunctionWarehouse worker 4.9999999999933964 3.4926414520850222 1091.9999999574995400 1.43 0.15255
## pers_simplifiedW1(MC):partfunctionWarehouse worker 1.9999999999935516 3.4926414520845581 1091.9999999554581791 0.57 0.56701
## pers_simplifiedW2(LM):partfunctionWarehouse worker 4.9999999999934932 3.4926414520850164 1091.9999999575391030 1.43 0.15255
## pers_simplifiedM2(JA):partfunctionwarehousing -1.5000000000040252 2.6675489715872929 1091.9999999584863417 -0.56 0.57402
## pers_simplifiedW1(MC):partfunctionwarehousing -0.5000000000034617 2.6675489715872414 1091.9999999584013040 -0.19 0.85135
## pers_simplifiedW2(LM):partfunctionwarehousing -0.0000000000031169 2.6675489715872494 1091.9999999584144916 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionWorker 3.3333333333289352 4.2177652601265283 1091.9999999611600288 0.79 0.42952
## pers_simplifiedW1(MC):partfunctionWorker -1.7500000000048790 4.2177652601259608 1091.9999999605720404 -0.41 0.67829
## pers_simplifiedW2(LM):partfunctionWorker -1.2500000000059110 4.2177652601264519 1091.9999999610802206 -0.30 0.76701
## deiexpert_fNo one has DEI Quals.:partfunctionAccount Management -1.9999999999970672 2.4696704550227131 1091.9999999577896688 -0.81 0.41822
## deiexpert_fNo one has DEI Quals.:partfunctionAccounting 0.9166666666673451 2.4176715692096971 1091.9999999569809006 0.38 0.70465
## deiexpert_fWoman Has DEI Quals.:partfunctionAccounting 4.4999999999954552 2.4696704550220354 1091.9999999551293968 1.82 0.06871 .
## deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services 2.9166666666673531 2.4867618039729518 1091.9999999560322976 1.17 0.24110
## deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services 1.4999999999954889 2.4351279083122828 1091.9999999499350452 0.62 0.53803
## deiexpert_fNo one has DEI Quals.:partfunctionBusiness Development 1.0000000000024689 3.9265257693799240 1091.9999999607450718 0.25 0.79902
## deiexpert_fWoman Has DEI Quals.:partfunctionBusiness Development 0.0833333333293519 2.9824104168883614 1091.9999999609410679 0.03 0.97771
## deiexpert_fNo one has DEI Quals.:partfunctionCivil Engineering -0.9999999999975172 3.9907239064242095 1091.9999999550836947 -0.25 0.80219
## deiexpert_fWoman Has DEI Quals.:partfunctionCivil Engineering 4.9999999999976970 1.8862419669564603 1091.9999999582184955 2.65 0.00815 **
## deiexpert_fWoman Has DEI Quals.:partfunctionCommunications 0.4999999999954176 2.5705145080528062 1091.9999999589185791 0.19 0.84581
## deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support 1.5000000000014841 3.3185199602923112 1091.9999999557505816 0.45 0.65135
## deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support 0.0833333333294592 2.7764729980308367 1091.9999999573340119 0.03 0.97606
## deiexpert_fNo one has DEI Quals.:partfunctionData Analysis -0.7499999999987844 3.3817355445505712 1091.9999999538345037 -0.22 0.82453
## deiexpert_fWoman Has DEI Quals.:partfunctionData Analysis 0.3333333333293393 2.8517298040332775 1091.9999999566402948 0.12 0.90697
## deiexpert_fNo one has DEI Quals.:partfunctionDesign or creative services 3.9166666666673233 2.4176715692096939 1091.9999999569754436 1.62 0.10552
## deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services 4.4999999999954845 2.5705145080528151 1091.9999999589333584 1.75 0.08029 .
## deiexpert_fWoman Has DEI Quals.:partfunctionEducation 0.9999999999942117 2.7611755097257871 1091.9999999580716121 0.36 0.71730
## deiexpert_fNo one has DEI Quals.:partfunctionFinancial services 0.2500000000011743 3.2928939400309107 1091.9999999574833964 0.08 0.93950
## deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services -0.1666666666706879 2.7611755097260722 1091.9999999597287115 -0.06 0.95188
## deiexpert_fNo one has DEI Quals.:partfunctionHealthcare 3.6666666666672203 2.3645294408642941 1091.9999999530793957 1.55 0.12126
## deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare 4.7857142857095765 2.3950407600573129 1091.9999999669250883 2.00 0.04595 *
## deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources 1.2500000000006533 2.3823751992492053 1091.9999999615633897 0.52 0.59991
## deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources 0.5833333333287503 2.3823751992477629 1091.9999999574001777 0.24 0.80662
## deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT) 3.9833333333338206 2.3174874286988256 1091.9999999619583377 1.72 0.08593 .
## deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT) 3.3095238095190931 2.3594058607558681 1091.9999999619433311 1.40 0.16099
## deiexpert_fNo one has DEI Quals.:partfunctionLegal services -1.0000000000000551 1.8862419669567303 1091.9999999588435458 -0.53 0.59611
## deiexpert_fWoman Has DEI Quals.:partfunctionLegal services 1.9999999999954288 2.5705145080527916 1091.9999999602844127 0.78 0.43671
## deiexpert_fNo one has DEI Quals.:partfunctionMarketing -2.4999999999975731 3.9265257693799294 1091.9999999534429662 -0.64 0.52446
## deiexpert_fWoman Has DEI Quals.:partfunctionMarketing -1.9166666666707002 2.9824104168883978 1091.9999999609942734 -0.64 0.52058
## deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering -1.4999999999988278 3.5883479790981108 1091.9999999591432243 -0.42 0.67601
## deiexpert_fWoman Has DEI Quals.:partfunctionMechanical Engineering -1.9166666666707119 2.8959453059515767 1091.9999999561073309 -0.66 0.50821
## deiexpert_fNo one has DEI Quals.:partfunctionOperations 1.5500000000006287 2.2954505976467128 1091.9999999596172984 0.68 0.49966
## deiexpert_fWoman Has DEI Quals.:partfunctionOperations 1.5499999999954321 2.3046582182335844 1091.9999999596141151 0.67 0.50138
## deiexpert_fNo one has DEI Quals.:partfunctionProduct Management -0.0000000000000512 1.6971186910880585 1091.9999999582901182 0.00 1.00000
## deiexpert_fWoman Has DEI Quals.:partfunctionProduct Management 1.4999999999948577 3.2410341015099271 1091.9999999502424544 0.46 0.64359
## deiexpert_fNo one has DEI Quals.:partfunctionProgram Management 1.9999999999993046 1.7463207260430571 1091.9999999588183073 1.15 0.25235
## deiexpert_fWoman Has DEI Quals.:partfunctionProgram Management -0.0000000000057953 2.7611755097257991 1091.9999999580907115 0.00 1.00000
## deiexpert_fNo one has DEI Quals.:partfunctionProject Management 3.9166666666672287 2.4176715692097006 1091.9999999650035534 1.62 0.10552
## deiexpert_fWoman Has DEI Quals.:partfunctionProject Management 2.4999999999953468 2.4696704550219915 1091.9999999550516350 1.01 0.31163
## deiexpert_fNo one has DEI Quals.:partfunctionPublic Relations -0.0000000000008563 1.8862419669567123 1091.9999999587616912 0.00 1.00000
## deiexpert_fNo one has DEI Quals.:partfunctionSales 0.5000000000008618 2.1780446147585351 1091.9999999582573764 0.23 0.81847
## deiexpert_fWoman Has DEI Quals.:partfunctionSales 0.3333333333290696 2.5037364843319430 1091.9999999596016096 0.13 0.89411
## deiexpert_fWoman Has DEI Quals.:partfunctionSoftware Engineering 0.9999999999958348 2.0164774825435194 1091.9999999677406777 0.50 0.62005
## pers_simplifiedM2(JA):sortOrder3 3.9999999999986735 1.7463207260429954 1091.9999999587112143 2.29 0.02218 *
## pers_simplifiedW1(MC):sortOrder3 0.9999999999987684 1.7463207260428264 1091.9999999567803570 0.57 0.56701
## pers_simplifiedW2(LM):sortOrder3 -1.0000000000016276 1.7463207260429223 1091.9999999584802026 -0.57 0.56701
## pers_simplifiedM2(JA):sortOrder2 5.6666666666631329 2.5705145080535021 1091.9999999614922217 2.20 0.02770 *
## pers_simplifiedW1(MC):sortOrder2 2.7499999999972009 2.5705145080536980 1091.9999999632175331 1.07 0.28493
## pers_simplifiedW2(LM):sortOrder2 3.2499999999977791 2.5705145080534217 1091.9999999613555701 1.26 0.20638
## pers_simplifiedM2(JA):sortOrder4 -1.1666666666691161 3.2670669221373996 1091.9999999606332040 -0.36 0.72109
## pers_simplifiedW1(MC):sortOrder4 -2.5833333333350099 3.2670669221374582 1091.9999999607116479 -0.79 0.42928
## pers_simplifiedW2(LM):sortOrder4 -3.9166666666673260 3.2670669221371811 1091.9999999603405740 -1.20 0.23085
## deiexpert_fNo one has DEI Quals.:sortOrder3 2.9166666666667123 2.6194810890646720 1091.9999999572603429 1.11 0.26576
## deiexpert_fWoman Has DEI Quals.:sortOrder3 -0.5000000000022614 1.7463207260424982 1091.9999999559588559 -0.29 0.77469
## deiexpert_fNo one has DEI Quals.:sortOrder2 1.8333333333328772 0.9203918365758069 1091.9999999582626060 1.99 0.04663 *
## deiexpert_fWoman Has DEI Quals.:sortOrder2 2.4166666666660976 1.3337744857935405 1091.9999999568465228 1.81 0.07028 .
## partfunctionAccount Management:sortOrder3 0.5000000000007861 1.8862419669566532 1091.9999999586650574 0.27 0.79100
## partfunctionAccounting:sortOrder3 0.0000000000008079 1.5941654238208827 1091.9999999586459580 0.00 1.00000
## partfunctionAdministrative services:sortOrder3 -0.5714285714299846 1.4173521996547918 1091.9999999644396667 -0.40 0.68690
## partfunctionBusiness Development:sortOrder3 -3.4166666666681609 2.5205968531809280 1091.9999999606479832 -1.36 0.17554
## partfunctionCivil Engineering:sortOrder3 -4.9166666666663090 2.5205968531809457 1091.9999999606336587 -1.95 0.05136 .
## partfunctionCommunications:sortOrder3 -2.0000000000014757 1.8862419669565811 1091.9999999584981651 -1.06 0.28924
## partfunctionCustomer Experience/Support:sortOrder3 -0.4166666666673154 2.2356240032096792 1091.9999999616311470 -0.19 0.85218
## partfunctionData Analysis:sortOrder3 0.0000000000007864 1.5941654238208691 1091.9999999695789938 0.00 1.00000
## partfunctionDesign or creative services:sortOrder3 0.9999999999985373 1.5401101168223772 1091.9999999576816663 0.65 0.51628
## partfunctionEducation:sortOrder3 -0.0000000000014443 1.8862419669565818 1091.9999999584999841 0.00 1.00000
## partfunctionFinancial services:sortOrder3 -0.1666666666675301 2.3101651752335388 1091.9999999499821115 -0.07 0.94250
## partfunctionHealthcare:sortOrder3 2.4999999999984706 1.5941654238207299 1091.9999999582271357 1.57 0.11712
## partfunctionHuman Resources:sortOrder3 -1.6666666666681351 1.5401101168223643 1091.9999999576452865 -1.08 0.27941
## partfunctionInformation Technology (IT):sortOrder3 1.3809523809507549 1.4173521996547911 1091.9999999481262876 0.97 0.33011
## partfunctionLegal services:sortOrder3 -0.0000000000014590 1.8862419669565715 1091.9999999584761099 0.00 1.00000
## partfunctionMarketing:sortOrder3 -4.9166666666663499 2.6194810890646099 1091.9999999571573426 -1.88 0.06079 .
## partfunctionMechanical Engineering:sortOrder3 -0.4999999999992099 1.8862419669566419 1091.9999999586391368 -0.27 0.79100
## partfunctionOperations:sortOrder3 0.4428571428556781 1.3310497138245196 1091.9999999570650289 0.33 0.73942
## partfunctionProduct Management:sortOrder3 -1.0000000000014615 1.6971186910878908 1091.9999999578585630 -0.59 0.55583
## partfunctionProject Management:sortOrder3 -0.0000000000015517 1.5941654238207768 1091.9999999564897735 0.00 1.00000
## partfunctionSales:sortOrder3 1.0833333333319579 1.3958433312950660 1091.9999999578094503 0.78 0.43785
## partfunctionAccounting:sortOrder2 -1.5000000000012266 1.7463207260430640 1091.9999999588355877 -0.86 0.39056
## partfunctionAdministrative services:sortOrder2 2.1666666666649004 1.9740205700657072 1091.9999999593965185 1.10 0.27263
## partfunctionCommunications:sortOrder2 0.4999999999987624 1.5941654238209739 1091.9999999588389983 0.31 0.75385
## partfunctionCustomer Experience/Support:sortOrder2 1.4999999999989171 1.5401101168226192 1091.9999999583076260 0.97 0.33029
## partfunctionData Analysis:sortOrder2 0.2499999999987678 1.5123581119085820 1091.9999999639514954 0.17 0.86873
## partfunctionDesign or creative services:sortOrder2 4.9166666666648773 2.1974053920843559 1091.9999999542646947 2.24 0.02546 *
## partfunctionFinancial services:sortOrder2 -0.2500000000012457 1.4258649020173724 1091.9999999588180799 -0.18 0.86085
## partfunctionHealthcare:sortOrder2 3.9166666666647498 1.9892877779215199 1091.9999999580145413 1.97 0.04922 *
## partfunctionHuman Resources:sortOrder2 2.2499999999981957 2.0373741803834435 1091.9999999699919044 1.10 0.26968
## partfunctionInformation Technology (IT):sortOrder2 4.4166666666647263 1.9524459269743788 1091.9999999615968136 2.26 0.02389 *
## partfunctionLegal services:sortOrder2 2.9166666666648675 2.3101651752337351 1091.9999999608021426 1.26 0.20703
## partfunctionMechanical Engineering:sortOrder2 -0.5000000000012551 1.7463207260430436 1091.9999999588321771 -0.29 0.77469
## partfunctionOperations:sortOrder2 2.4388888888870692 1.8757335733989455 1091.9999999589883828 1.30 0.19380
## partfunctionProduct Management:sortOrder2 0.9999999999993447 2.0164774825447145 1091.9999999587359980 0.50 0.62005
## partfunctionProject Management:sortOrder2 -0.0000000000012313 1.5941654238209710 1091.9999999588310402 0.00 1.00000
## partfunctionSales:sortOrder2 1.4999999999984712 1.6971186910879934 1091.9999999581225438 0.88 0.37697
## partfunctionAdministrative services:sortOrder4 -3.2500000000007110 2.5869396880096684 1091.9999999609283350 -1.26 0.20927
## partfunctionCustomer Experience/Support:sortOrder4 -0.9166666666674192 2.4867618039728652 1091.9999999558806394 -0.37 0.71248
## partfunctionData Analysis:sortOrder4 -1.5833333333340176 2.4524599982734543 1091.9999999617436970 -0.65 0.51867
## partfunctionDesign or creative services:sortOrder4 -2.9166666666673553 2.6194810890645535 1091.9999999571045919 -1.11 0.26576
## partfunctionFinancial services:sortOrder4 -2.9166666666673446 2.5205968531809151 1091.9999999606257006 -1.16 0.24747
## partfunctionHealthcare:sortOrder4 -2.6666666666673859 2.4351279083136195 1091.9999999647909590 -1.10 0.27372
## partfunctionHuman Resources:sortOrder4 -1.5833333333340496 2.4867618039728780 1091.9999999558572199 -0.64 0.52445
## partfunctionInformation Technology (IT):sortOrder4 -1.3166666666673617 2.4593586335556741 1091.9999999531444246 -0.54 0.59250
## partfunctionMarketing:sortOrder4 -1.9166666666673633 2.5205968531809173 1091.9999999606293386 -0.76 0.44718
## partfunctionOperations:sortOrder4 -1.5833333333340285 2.4176715692095634 1091.9999999552153440 -0.65 0.51267
## partfunctionProject Management:sortOrder4 -1.9166666666673653 2.6194810890645588 1091.9999999570723048 -0.73 0.46451
## partfunctionSales:sortOrder4 -1.4166666666674852 2.3101651752338110 1091.9999999504966581 -0.61 0.53985
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionAccount Management 6.9999999999974349 3.4926414520856510 1091.9999999567780833 2.00 0.04529 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionAccount Management -3.0000000000027920 3.4926414520853886 1091.9999999579576979 -0.86 0.39056
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionAccount Management 3.9999999999968572 3.4926414520855769 1091.9999999581932570 1.15 0.25235
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionAccounting 0.3333333333307579 3.4191039225400086 1091.9999999552169356 0.10 0.92235
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionAccounting -3.0833333333352035 3.4191039225399744 1091.9999999567464783 -0.90 0.36736
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionAccounting -0.9166666666674365 3.4191039225396622 1091.9999999562983248 -0.27 0.78867
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionAccounting -8.9999999999961222 3.4926414520852327 1091.9999999578099050 -2.58 0.01010 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionAccounting -3.4999999999958100 3.4926414520846452 1091.9999999662168193 -1.00 0.31651
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionAccounting -5.4999999999950022 3.4926414520850377 1091.9999999575186393 -1.57 0.11561
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services -3.5000000000026423 3.5168122695697903 1091.9999999573431069 -1.00 0.31985
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services -5.2500000000019256 3.5168122695697384 1091.9999999648098310 -1.49 0.13577
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services -2.9166666666674330 3.5168122695694124 1091.9999999644512627 -0.83 0.40709
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services -6.3333333333294872 3.4437909140494201 1091.9999999526585270 -1.84 0.06618 .
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services 0.3333333333374521 3.4437909140488241 1091.9999999598528575 0.10 0.92291
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services 0.0000000000049400 3.4437909140492060 1091.9999999602894150 0.00 1.00000
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionBusiness Development -0.5000000000061103 5.5529459960639667 1091.9999999602939624 -0.09 0.92827
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionBusiness Development -1.8333333333380066 5.5529459960641345 1091.9999999531173671 -0.33 0.74135
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionBusiness Development -1.6666666666696595 5.5529459960634844 1091.9999999599149305 -0.30 0.76413
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionBusiness Development -2.3333333333307169 4.2177652601271216 1091.9999999617746198 -0.55 0.58023
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionBusiness Development 0.7500000000031496 4.2177652601266669 1091.9999999612391548 0.18 0.85890
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionBusiness Development 1.2500000000041802 4.2177652601269271 1091.9999999489048150 0.30 0.76701
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionCivil Engineering 3.4999999999938773 5.6437358721510913 1091.9999999546469098 0.62 0.53528
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionCivil Engineering -0.8333333333380077 5.6437358721512538 1091.9999999618119091 -0.15 0.88264
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionCivil Engineering 1.3333333333303417 5.6437358721506374 1091.9999999613703494 0.24 0.81328
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionCivil Engineering -5.9999999999977147 2.6675489715873213 1091.9999999585324986 -2.25 0.02469 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionCivil Engineering -5.9999999999975602 2.6675489715872023 1091.9999999570447926 -2.25 0.02469 *
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionCivil Engineering -7.9999999999974367 2.6675489715873035 1091.9999999585033947 -3.00 0.00277 **
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionCommunications -3.9999999999960822 3.6352564795659794 1091.9999999613867203 -1.10 0.27143
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionCommunications 1.0000000000042284 3.6352564795654239 1091.9999999607189238 0.28 0.78330
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionCommunications 1.0000000000050240 3.6352564795657916 1091.9999999526783085 0.28 0.78330
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support -0.0000000000042114 4.6930959348510175 1091.9999999640788246 0.00 1.00000
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support -4.3333333333366006 4.6930959348510877 1091.9999999641443083 -0.92 0.35603
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support -1.6666666666685641 4.6930959348505406 1091.9999999551259862 -0.36 0.72256
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support -1.8333333333308797 3.9265257693787938 1091.9999999582944383 -0.47 0.64066
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support 0.2500000000029885 3.9265257693782898 1091.9999999650422069 0.06 0.94925
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support 1.2500000000040408 3.9265257693785585 1091.9999999580325039 0.32 0.75028
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis 6.9999999999962093 4.7824962714623789 1091.9999999553076577 1.46 0.14357
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis -4.4166666666695944 4.7824962714624650 1091.9999999635815584 -0.92 0.35595
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis 0.4166666666650646 4.7824962714619961 1091.9999999549581844 0.09 0.93059
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionData Analysis 0.1666666666693130 4.0329549650883498 1091.9999999691603989 0.04 0.96704
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionData Analysis -1.9999999999968601 4.0329549650878720 1091.9999999570482032 -0.50 0.62005
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionData Analysis 0.5000000000041586 4.0329549650881420 1091.9999999551503151 0.12 0.90136
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionDesign or creative services -5.1666666666692356 3.4191039225400028 1091.9999999567332907 -1.51 0.13105
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionDesign or creative services -3.5833333333351898 3.4191039225399655 1091.9999999566855422 -1.05 0.29486
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionDesign or creative services -6.9166666666674201 3.4191039225396609 1091.9999999643623596 -2.02 0.04332 *
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services -10.4999999999961826 3.6352564795659976 1091.9999999628016667 -2.89 0.00395 **
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services -3.4999999999958509 3.6352564795654132 1091.9999999607064183 -0.96 0.33586
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services -3.9999999999950568 3.6352564795658155 1091.9999999611900421 -1.10 0.27143
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionEducation -4.9999999999938511 3.9048918539476132 1091.9999999603535343 -1.28 0.20066
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionEducation 1.0000000000059546 3.9048918539470057 1091.9999999584674697 0.26 0.79793
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionEducation 0.0000000000064043 3.9048918539475173 1091.9999999602462140 0.00 1.00000
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services 3.9999999999962301 4.6568552694476040 1091.9999999588571882 0.86 0.39056
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services -3.8333333333361743 4.6568552694477070 1091.9999999573105924 -0.82 0.41060
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services -1.1666666666681897 4.6568552694472674 1091.9999999585950263 -0.25 0.80223
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services -0.5833333333306819 3.9048918539479183 1091.9999999606575329 -0.15 0.88128
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services -0.2499999999968076 3.9048918539474218 1091.9999999601391210 -0.06 0.94896
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services 1.5000000000042182 3.9048918539477193 1091.9999999530828063 0.38 0.70095
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare -4.1666666666691325 3.3439496039005689 1091.9999999645051503 -1.25 0.21302
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare -6.0833333333351263 3.3439496039005383 1091.9999999644653599 -1.82 0.06915 .
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare -4.4166666666673287 3.3439496039002283 1091.9999999640601800 -1.32 0.18685
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare -10.0714285714245282 3.3870991253104266 1091.9999999584038051 -2.97 0.00301 **
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare -4.7142857142813925 3.3870991253098186 1091.9999999576700702 -1.39 0.16426
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare -4.3571428571377044 3.3870991253102054 1091.9999999597225724 -1.29 0.19858
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources -0.0000000000025709 3.3691873174393412 1091.9999999514429874 0.00 1.00000
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources -2.4166666666685175 3.3691873174393110 1091.9999999613294221 -0.72 0.47335
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources -2.5833333333340924 3.3691873174389935 1091.9999999592480435 -0.77 0.44339
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources -3.0833333333294219 3.3691873174384779 1091.9999999585791102 -0.92 0.36031
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources 0.1666666666708883 3.3691873174378673 1091.9999999594572273 0.05 0.96056
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources 0.5833333333383547 3.3691873174382807 1091.9999999583737917 0.17 0.86258
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT) -5.1000000000023205 3.2774221522948559 1091.9999999530025434 -1.56 0.11997
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT) -6.9833333333349685 3.2774221522948168 1091.9999999616736659 -2.13 0.03333 *
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT) -3.8500000000005254 3.2774221522944846 1091.9999999612311967 -1.17 0.24037
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT) -7.6904761904720695 3.3367037674244919 1091.9999999648734956 -2.30 0.02136 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT) -3.6428571428527321 3.3367037674238880 1091.9999999640826900 -1.09 0.27518
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT) -1.9047619047566915 3.3367037674243010 1091.9999999545552782 -0.57 0.56822
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionLegal services 2.9999999999998970 2.6675489715875353 1091.9999999588831088 1.12 0.26099
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionLegal services -0.0000000000001696 2.6675489715875260 1091.9999999588271749 0.00 1.00000
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionLegal services 0.9999999999999141 2.6675489715875207 1091.9999999588592345 0.37 0.70783
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services -5.9999999999960956 3.6352564795659692 1091.9999999627671059 -1.65 0.09913 .
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services -0.4999999999957839 3.6352564795653994 1091.9999999606898200 -0.14 0.89063
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services -1.4999999999949842 3.6352564795657654 1091.9999999611293333 -0.41 0.67996
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionMarketing 5.9999999999939417 5.5529459960639667 1091.9999999602946446 1.08 0.28015
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionMarketing 2.1666666666620524 5.5529459960641327 1091.9999999604249297 0.39 0.69648
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionMarketing 1.8333333333304018 5.5529459960635066 1091.9999999515055151 0.33 0.74135
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionMarketing 4.6666666666693528 4.2177652601271562 1091.9999999617457433 1.11 0.26878
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionMarketing 0.7500000000032162 4.2177652601266926 1091.9999999486624347 0.18 0.85890
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionMarketing 2.2500000000042504 4.2177652601269688 1091.9999999616156856 0.53 0.59383
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering 4.9999999999962759 5.0746903785543953 1091.9999999589365416 0.99 0.32470
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering 1.1666666666638439 5.0746903785544673 1091.9999999589988420 0.23 0.81821
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering -0.1666666666681819 5.0746903785540098 1091.9999999586050308 -0.03 0.97381
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionMechanical Engineering 2.6666666666693817 4.0954851275682511 1091.9999999569226929 0.65 0.51510
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionMechanical Engineering 3.2500000000032343 4.0954851275677644 1091.9999999585979822 0.79 0.42763
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionMechanical Engineering 1.7500000000042557 4.0954851275680522 1091.9999999589047093 0.43 0.66925
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionOperations -2.7666666666691961 3.2462573669492238 1091.9999999593694611 -0.85 0.39425
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionOperations -1.5833333333351516 3.2462573669491803 1091.9999999593653683 -0.49 0.62583
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionOperations -1.8500000000007331 3.2462573669488526 1091.9999999588699211 -0.57 0.56887
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionOperations -5.5999999999960943 3.2592789088615599 1091.9999999503636445 -1.72 0.08605 .
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionOperations 0.0000000000042134 3.2592789088609262 1091.9999999601216132 0.00 1.00000
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionOperations -0.5999999999949996 3.2592789088613388 1091.9999999624060365 -0.18 0.85398
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionProduct Management 0.9999999999998908 2.4000882698936370 1091.9999999599908733 0.42 0.67702
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionProduct Management -0.6666666666668427 2.4000882698936286 1091.9999999583289991 -0.28 0.78124
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionProduct Management -0.3333333333334276 2.4000882698936223 1091.9999999583176304 -0.14 0.88957
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionProduct Management -3.9999999999944058 4.5835143824697999 1091.9999999509147983 -0.87 0.38302
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionProduct Management -1.1666666666613328 4.5835143824692448 1091.9999999610572559 -0.25 0.79913
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionProduct Management -0.8333333333278828 4.5835143824696702 1091.9999999632148047 -0.18 0.85576
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionProgram Management -1.9999999999995537 2.4696704550233632 1091.9999999497024419 -0.81 0.41822
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionProgram Management -2.4999999999995635 2.4696704550233290 1091.9999999588310402 -1.01 0.31163
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionProgram Management -3.4999999999991434 2.4696704550233122 1091.9999999588490027 -1.42 0.15671
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionProgram Management -1.9999999999938349 3.9048918539476274 1091.9999999603694505 -0.51 0.60863
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionProgram Management 1.0000000000059641 3.9048918539470128 1091.9999999596816451 0.26 0.79793
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionProgram Management 1.0000000000064173 3.9048918539475248 1091.9999999602168828 0.26 0.79793
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionProject Management -5.6666666666691192 3.4191039225400082 1091.9999999552164809 -1.66 0.09774 .
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionProject Management -7.0833333333350676 3.4191039225399753 1091.9999999567469331 -2.07 0.03853 *
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionProject Management -2.9166666666673113 3.4191039225396644 1091.9999999563010533 -0.85 0.39382
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionProject Management -7.4999999999960094 3.4926414520851918 1091.9999999669014414 -2.15 0.03198 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionProject Management -0.4999999999956787 3.4926414520845981 1091.9999999662049959 -0.14 0.88619
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionProject Management -1.9999999999948839 3.4926414520849911 1091.9999999574608864 -0.57 0.56701
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionPublic Relations -2.9999999999989369 2.6675489715874976 1091.9999999588214905 -1.12 0.26099
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionPublic Relations 0.0000000000008930 2.6675489715874909 1091.9999999588101218 0.00 1.00000
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionPublic Relations 3.0000000000010640 2.6675489715874932 1091.9999999588139872 1.12 0.26099
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionSales -0.5000000000027847 3.0802202336449671 1091.9999999579831638 -0.16 0.87108
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionSales -0.8333333333354058 3.0802202336449871 1091.9999999580115855 -0.27 0.78679
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionSales -0.6666666666677004 3.0802202336446478 1091.9999999575302354 -0.22 0.82869
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionSales -2.8333333333302058 3.5408180927515316 1091.9999999607478003 -0.80 0.42377
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionSales 0.5000000000035977 3.5408180927509694 1091.9999999615670276 0.14 0.88773
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionSales 1.0000000000045732 3.5408180927513149 1091.9999999605258836 0.28 0.77767
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionSoftware Engineering -3.9999999999960596 2.8517298040338108 1091.9999999689810011 -1.40 0.16100
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionSoftware Engineering 0.0000000000041188 2.8517298040332797 1091.9999999566432507 0.00 1.00000
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionSoftware Engineering 0.0000000000045851 2.8517298040336678 1091.9999999571673470 0.00 1.00000
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder3 -5.1666666666689629 3.7045056825351299 1091.9999999573321929 -1.39 0.16339
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder3 -3.5833333333348456 3.7045056825349625 1091.9999999652620772 -0.97 0.33361
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder3 -2.9166666666668521 3.7045056825347613 1091.9999999568974545 -0.79 0.43126
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder3 -1.4999999999983797 2.4696704550230280 1091.9999999568385647 -0.61 0.54373
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder3 0.5000000000017777 2.4696704550226838 1091.9999999562292032 0.20 0.83960
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder3 3.0000000000024487 2.4696704550228903 1091.9999999581027623 1.21 0.22473
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder2 -3.8333333333328028 1.3016306179829884 1091.9999999582655619 -2.95 0.00330 **
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder2 -2.3333333333328201 1.3016306179829751 1091.9999999582637429 -1.79 0.07331 .
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder2 -1.1666666666660479 1.3016306179829753 1091.9999999582646524 -0.90 0.37028
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder2 -6.1666666666654075 1.8862419669563830 1091.9999999567467057 -3.27 0.00111 **
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder2 -1.2499999999989626 1.8862419669564543 1091.9999999569117790 -0.66 0.50767
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder2 -2.2499999999991904 1.8862419669563533 1091.9999999566778115 -1.19 0.23319
## pers_simplifiedM2(JA):partfunctionAccount Management:sortOrder3 -2.5000000000002718 2.6675489715874621 1091.9999999587630555 -0.94 0.34887
## pers_simplifiedW1(MC):partfunctionAccount Management:sortOrder3 2.4999999999994724 2.6675489715874088 1091.9999999586759714 0.94 0.34887
## pers_simplifiedW2(LM):partfunctionAccount Management:sortOrder3 -2.0000000000008114 2.6675489715874470 1091.9999999587384991 -0.75 0.45357
## pers_simplifiedM2(JA):partfunctionAccounting:sortOrder3 0.4999999999996949 2.2544903630338191 1091.9999999587323600 0.22 0.82453
## pers_simplifiedW1(MC):partfunctionAccounting:sortOrder3 -1.0000000000005522 2.2544903630337583 1091.9999999586711965 -0.44 0.65745
## pers_simplifiedW2(LM):partfunctionAccounting:sortOrder3 0.4999999999991646 2.2544903630338053 1091.9999999587623734 0.22 0.82453
## pers_simplifiedM2(JA):partfunctionAdministrative services:sortOrder3 -1.3333333333320572 2.0044387034113709 1091.9999999648598532 -0.67 0.50607
## pers_simplifiedW1(MC):partfunctionAdministrative services:sortOrder3 0.9047619047630627 2.0044387034112336 1091.9999999646317974 0.45 0.65181
## pers_simplifiedW2(LM):partfunctionAdministrative services:sortOrder3 2.7142857142872807 2.0044387034113056 1091.9999999507663233 1.35 0.17597
## pers_simplifiedM2(JA):partfunctionBusiness Development:sortOrder3 3.1666666666702716 3.5646622550432099 1091.9999999603985543 0.89 0.37455
## pers_simplifiedW1(MC):partfunctionBusiness Development:sortOrder3 4.0833333333360651 3.5646622550431792 1091.9999999603612650 1.15 0.25225
## pers_simplifiedW2(LM):partfunctionBusiness Development:sortOrder3 6.4166666666684637 3.5646622550429603 1091.9999999512699560 1.80 0.07212 .
## pers_simplifiedM2(JA):partfunctionCivil Engineering:sortOrder3 6.6666666666644359 3.5646622550433680 1091.9999999605925041 1.87 0.06172 .
## pers_simplifiedW1(MC):partfunctionCivil Engineering:sortOrder3 5.7499999999984057 3.5646622550433600 1091.9999999619851678 1.61 0.10702
## pers_simplifiedW2(LM):partfunctionCivil Engineering:sortOrder3 7.2499999999993880 3.5646622550431628 1091.9999999603412562 2.03 0.04221 *
## pers_simplifiedM2(JA):partfunctionCommunications:sortOrder3 2.0000000000013474 2.6675489715874661 1091.9999999587291768 0.75 0.45357
## pers_simplifiedW1(MC):partfunctionCommunications:sortOrder3 2.0000000000012492 2.6675489715873577 1091.9999999585922978 0.75 0.45357
## pers_simplifiedW2(LM):partfunctionCommunications:sortOrder3 4.0000000000016440 2.6675489715874181 1091.9999999586907506 1.50 0.13403
## pers_simplifiedM2(JA):partfunctionCustomer Experience/Support:sortOrder3 0.1666666666663713 3.1616497857062082 1091.9999999601914169 0.05 0.95797
## pers_simplifiedW1(MC):partfunctionCustomer Experience/Support:sortOrder3 -0.7500000000001603 3.1616497857061083 1091.9999999600522642 -0.24 0.81253
## pers_simplifiedW2(LM):partfunctionCustomer Experience/Support:sortOrder3 2.2500000000005098 3.1616497857060479 1091.9999999505369033 0.71 0.47683
## pers_simplifiedM2(JA):partfunctionData Analysis:sortOrder3 0.4999999999997289 2.2544903630337965 1091.9999999586884769 0.22 0.82453
## pers_simplifiedW1(MC):partfunctionData Analysis:sortOrder3 -0.0000000000005513 2.2544903630337405 1091.9999999567703526 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionData Analysis:sortOrder3 -0.5000000000008150 2.2544903630337827 1091.9999999587180355 -0.22 0.82453
## pers_simplifiedM2(JA):partfunctionDesign or creative services:sortOrder3 -4.3333333333320230 2.1780446147584271 1091.9999999600404408 -1.99 0.04689 *
## pers_simplifiedW1(MC):partfunctionDesign or creative services:sortOrder3 0.3333333333345717 2.1780446147582748 1091.9999999577964900 0.15 0.87839
## pers_simplifiedW2(LM):partfunctionDesign or creative services:sortOrder3 0.0000000000016268 2.1780446147583707 1091.9999999579886207 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionEducation:sortOrder3 -3.9999999999987037 2.6675489715874696 1091.9999999587753337 -1.50 0.13403
## pers_simplifiedW1(MC):partfunctionEducation:sortOrder3 1.0000000000012086 2.6675489715873582 1091.9999999585925252 0.37 0.70783
## pers_simplifiedW2(LM):partfunctionEducation:sortOrder3 3.0000000000016058 2.6675489715874194 1091.9999999586934791 1.12 0.26099
## pers_simplifiedM2(JA):partfunctionFinancial services:sortOrder3 0.1666666666666640 3.2670669221375022 1091.9999999624940301 0.05 0.95932
## pers_simplifiedW1(MC):partfunctionFinancial services:sortOrder3 -0.2499999999998399 3.2670669221373636 1091.9999999605317953 -0.08 0.93902
## pers_simplifiedW2(LM):partfunctionFinancial services:sortOrder3 0.7500000000007693 3.2670669221373920 1091.9999999606229721 0.23 0.81847
## pers_simplifiedM2(JA):partfunctionHealthcare:sortOrder3 -5.9999999999986313 2.2544903630337649 1091.9999999568176463 -2.66 0.00790 **
## pers_simplifiedW1(MC):partfunctionHealthcare:sortOrder3 -1.9999999999987390 2.2544903630336242 1091.9999999584108537 -0.89 0.37521
## pers_simplifiedW2(LM):partfunctionHealthcare:sortOrder3 -1.9999999999983105 2.2544903630336881 1091.9999999584781563 -0.89 0.37521
## pers_simplifiedM2(JA):partfunctionHuman Resources:sortOrder3 0.6666666666679879 2.1780446147584103 1091.9999999580074928 0.31 0.75960
## pers_simplifiedW1(MC):partfunctionHuman Resources:sortOrder3 2.6666666666679011 2.1780446147582762 1091.9999999597378064 1.22 0.22109
## pers_simplifiedW2(LM):partfunctionHuman Resources:sortOrder3 3.3333333333349580 2.1780446147583579 1091.9999999579624728 1.53 0.12620
## pers_simplifiedM2(JA):partfunctionInformation Technology (IT):sortOrder3 -4.1904761904746213 2.0044387034113638 1091.9999999648437097 -2.09 0.03679 *
## pers_simplifiedW1(MC):partfunctionInformation Technology (IT):sortOrder3 -1.9999999999985418 2.0044387034112132 1091.9999999505655524 -1.00 0.31860
## pers_simplifiedW2(LM):partfunctionInformation Technology (IT):sortOrder3 0.6666666666685207 2.0044387034113051 1091.9999999507658686 0.33 0.73950
## pers_simplifiedM2(JA):partfunctionLegal services:sortOrder3 0.0000000000013207 2.6675489715874607 1091.9999999587610091 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionLegal services:sortOrder3 0.0000000000012333 2.6675489715873435 1091.9999999585686510 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionLegal services:sortOrder3 0.0000000000016316 2.6675489715874043 1091.9999999586279955 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionMarketing:sortOrder3 7.6666666666644900 3.7045056825349336 1091.9999999638878307 2.07 0.03873 *
## pers_simplifiedW1(MC):partfunctionMarketing:sortOrder3 4.7499999999984608 3.7045056825349230 1091.9999999570879936 1.28 0.20004
## pers_simplifiedW2(LM):partfunctionMarketing:sortOrder3 7.2499999999994369 3.7045056825347342 1091.9999999568653948 1.96 0.05059 .
## pers_simplifiedM2(JA):partfunctionMechanical Engineering:sortOrder3 -0.5000000000002665 2.6675489715874505 1091.9999999587441835 -0.19 0.85135
## pers_simplifiedW1(MC):partfunctionMechanical Engineering:sortOrder3 2.4999999999994662 2.6675489715874017 1091.9999999586636932 0.94 0.34887
## pers_simplifiedW2(LM):partfunctionMechanical Engineering:sortOrder3 -0.0000000000008218 2.6675489715874376 1091.9999999587228103 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionOperations:sortOrder3 -4.0285714285700882 1.8823885574837069 1091.9999999588885657 -2.14 0.03256 *
## pers_simplifiedW1(MC):partfunctionOperations:sortOrder3 0.7142857142869579 1.8823885574835457 1091.9999999585550086 0.38 0.70442
## pers_simplifiedW2(LM):partfunctionOperations:sortOrder3 1.5428571428587641 1.8823885574836303 1091.9999999587514594 0.82 0.41261
## pers_simplifiedM2(JA):partfunctionProduct Management:sortOrder3 0.0000000000013198 2.4000882698935588 1091.9999999597989699 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionProduct Management:sortOrder3 1.3333333333345656 2.4000882698934336 1091.9999999595709141 0.56 0.57864
## pers_simplifiedW2(LM):partfunctionProduct Management:sortOrder3 2.6666666666682968 2.4000882698935047 1091.9999999581032171 1.11 0.26678
## pers_simplifiedM2(JA):partfunctionProject Management:sortOrder3 -2.9999999999985785 2.2544903630338027 1091.9999999587000730 -1.33 0.18357
## pers_simplifiedW1(MC):partfunctionProject Management:sortOrder3 0.0000000000013443 2.2544903630336703 1091.9999999585002115 0.00 1.00000
## pers_simplifiedW2(LM):partfunctionProject Management:sortOrder3 3.0000000000017399 2.2544903630337516 1091.9999999586009380 1.33 0.18357
## pers_simplifiedM2(JA):partfunctionSales:sortOrder3 -2.5833333333321402 1.9740205700657640 1091.9999999583053523 -1.31 0.19092
## pers_simplifiedW1(MC):partfunctionSales:sortOrder3 -1.7499999999988820 1.9740205700656090 1091.9999999579986252 -0.89 0.37553
## pers_simplifiedW2(LM):partfunctionSales:sortOrder3 0.0000000000015092 1.9740205700656930 1091.9999999593651410 0.00 1.00000
## pers_simplifiedM2(JA):partfunctionAccounting:sortOrder2 2.0000000000022657 2.4696704550232220 1091.9999999586900685 0.81 0.41822
## pers_simplifiedW1(MC):partfunctionAccounting:sortOrder2 0.5000000000017563 2.4696704550232464 1091.9999999587325874 0.20 0.83960
## pers_simplifiedW2(LM):partfunctionAccounting:sortOrder2 3.5000000000013993 2.4696704550232074 1091.9999999586159447 1.42 0.15671
## pers_simplifiedM2(JA):partfunctionAdministrative services:sortOrder2 -4.4999999999964997 2.7916866625900529 1091.9999999576864411 -1.61 0.10727
## pers_simplifiedW1(MC):partfunctionAdministrative services:sortOrder2 -1.1666666666639318 2.7916866625902403 1091.9999999579795258 -0.42 0.67610
## pers_simplifiedW2(LM):partfunctionAdministrative services:sortOrder2 -2.9999999999978169 2.7916866625899934 1091.9999999576300524 -1.07 0.28278
## pers_simplifiedM2(JA):partfunctionCommunications:sortOrder2 0.0000000000022811 2.2544903630337565 1091.9999999586673312 0.00 1.00000
## pers_simplifiedW1(MC):partfunctionCommunications:sortOrder2 -0.9999999999982309 2.2544903630337800 1091.9999999587128059 -0.44 0.65745
## pers_simplifiedW2(LM):partfunctionCommunications:sortOrder2 -0.9999999999985816 2.2544903630337401 1091.9999999585788828 -0.44 0.65745
## pers_simplifiedM2(JA):partfunctionCustomer Experience/Support:sortOrder2 -1.9999999999979421 2.1780446147584138 1091.9999999600133833 -0.92 0.35869
## pers_simplifiedW1(MC):partfunctionCustomer Experience/Support:sortOrder2 -1.9999999999984543 2.1780446147584538 1091.9999999600936462 -0.92 0.35869
## pers_simplifiedW2(LM):partfunctionCustomer Experience/Support:sortOrder2 -1.9999999999987779 2.1780446147584178 1091.9999999580836629 -0.92 0.35869
## pers_simplifiedM2(JA):partfunctionData Analysis:sortOrder2 1.5000000000022817 2.1387973530259621 1091.9999999535223196 0.70 0.48325
## pers_simplifiedW1(MC):partfunctionData Analysis:sortOrder2 -1.2499999999982665 2.1387973530259901 1091.9999999535791630 -0.58 0.55904
## pers_simplifiedW2(LM):partfunctionData Analysis:sortOrder2 -1.2499999999986104 2.1387973530259519 1091.9999999535007191 -0.58 0.55904
## pers_simplifiedM2(JA):partfunctionDesign or creative services:sortOrder2 -6.6666666666631675 3.1076005075171782 1091.9999999557667252 -2.15 0.03215 *
## pers_simplifiedW1(MC):partfunctionDesign or creative services:sortOrder2 -5.7499999999972164 3.1076005075173372 1091.9999999559900061 -1.85 0.06454 .
## pers_simplifiedW2(LM):partfunctionDesign or creative services:sortOrder2 -7.2499999999978053 3.1076005075171076 1091.9999999556678176 -2.33 0.01983 *
## pers_simplifiedM2(JA):partfunctionFinancial services:sortOrder2 1.0000000000022851 2.0164774825446301 1091.9999999585531896 0.50 0.62005
## pers_simplifiedW1(MC):partfunctionFinancial services:sortOrder2 -0.4999999999982305 2.0164774825446501 1091.9999999585966179 -0.25 0.80421
## pers_simplifiedW2(LM):partfunctionFinancial services:sortOrder2 0.5000000000014132 2.0164774825446004 1091.9999999700826265 0.25 0.80421
## pers_simplifiedM2(JA):partfunctionHealthcare:sortOrder2 -7.5238095238058733 2.8132777549993406 1091.9999999575688889 -2.67 0.00760 **
## pers_simplifiedW1(MC):partfunctionHealthcare:sortOrder2 -3.1071428571399684 2.8132777549995232 1091.9999999566900897 -1.10 0.26964
## pers_simplifiedW2(LM):partfunctionHealthcare:sortOrder2 -5.0357142857119399 2.8132777549992425 1091.9999999562539870 -1.79 0.07373 .
## pers_simplifiedM2(JA):partfunctionHuman Resources:sortOrder2 -2.9999999999964682 2.8812821975267187 1091.9999999538620159 -1.04 0.29801
## pers_simplifiedW1(MC):partfunctionHuman Resources:sortOrder2 -3.0833333333305415 2.8812821975268963 1091.9999999540621047 -1.07 0.28480
## pers_simplifiedW2(LM):partfunctionHuman Resources:sortOrder2 -2.9166666666644554 2.8812821975266512 1091.9999999536905761 -1.01 0.31163
## pers_simplifiedM2(JA):partfunctionInformation Technology (IT):sortOrder2 -7.3333333333296018 2.7611755097269293 1091.9999999610479335 -2.66 0.00803 **
## pers_simplifiedW1(MC):partfunctionInformation Technology (IT):sortOrder2 -4.9166666666636791 2.7611755097271113 1091.9999999612980446 -1.78 0.07525 .
## pers_simplifiedW2(LM):partfunctionInformation Technology (IT):sortOrder2 -5.4166666666642502 2.7611755097268600 1091.9999999609381121 -1.96 0.05005 .
## pers_simplifiedM2(JA):partfunctionLegal services:sortOrder2 -3.6666666666631391 3.2670669221372859 1091.9999999604813183 -1.12 0.26198
## pers_simplifiedW1(MC):partfunctionLegal services:sortOrder2 -2.7499999999972062 3.2670669221374409 1091.9999999606884558 -0.84 0.40012
## pers_simplifiedW2(LM):partfunctionLegal services:sortOrder2 -5.2499999999977858 3.2670669221372233 1091.9999999603971901 -1.61 0.10836
## pers_simplifiedM2(JA):partfunctionMechanical Engineering:sortOrder2 1.5000000000023221 2.4696704550231954 1091.9999999585941168 0.61 0.54373
## pers_simplifiedW1(MC):partfunctionMechanical Engineering:sortOrder2 2.0000000000017870 2.4696704550232140 1091.9999999586755166 0.81 0.41822
## pers_simplifiedW2(LM):partfunctionMechanical Engineering:sortOrder2 -1.4999999999985767 2.4696704550231852 1091.9999999585763817 -0.61 0.54373
## pers_simplifiedM2(JA):partfunctionOperations:sortOrder2 -4.8222222222186613 2.6526878588989944 1091.9999999584222223 -1.82 0.06936 .
## pers_simplifiedW1(MC):partfunctionOperations:sortOrder2 -1.7499999999971763 2.6526878588991840 1091.9999999587344064 -0.66 0.50958
## pers_simplifiedW2(LM):partfunctionOperations:sortOrder2 -3.1833333333311069 2.6526878588989184 1091.9999999582967121 -1.20 0.23038
## pers_simplifiedM2(JA):partfunctionProduct Management:sortOrder2 -1.9999999999994278 2.8517298040346959 1091.9999999587430466 -0.70 0.48325
## pers_simplifiedW1(MC):partfunctionProduct Management:sortOrder2 -0.9999999999993655 2.8517298040346999 1091.9999999587489583 -0.35 0.72591
## pers_simplifiedW2(LM):partfunctionProduct Management:sortOrder2 -0.9999999999990291 2.8517298040346870 1091.9999999587291768 -0.35 0.72591
## pers_simplifiedM2(JA):partfunctionProject Management:sortOrder2 1.5000000000022711 2.2544903630337556 1091.9999999586659669 0.67 0.50597
## pers_simplifiedW1(MC):partfunctionProject Management:sortOrder2 -2.9999999999982436 2.2544903630337769 1091.9999999586500508 -1.33 0.18357
## pers_simplifiedW2(LM):partfunctionProject Management:sortOrder2 1.5000000000014075 2.2544903630337365 1091.9999999585718342 0.67 0.50597
## pers_simplifiedM2(JA):partfunctionSales:sortOrder2 -2.4999999999968674 2.4000882698932036 1091.9999999576052687 -1.04 0.29781
## pers_simplifiedW1(MC):partfunctionSales:sortOrder2 -1.4999999999975646 2.4000882698933381 1091.9999999578003553 -0.62 0.53212
## pers_simplifiedW2(LM):partfunctionSales:sortOrder2 -1.9999999999981612 2.4000882698930921 1091.9999999574019967 -0.83 0.40486
## pers_simplifiedM2(JA):partfunctionAdministrative services:sortOrder4 2.8333333333358475 3.6584851918242767 1091.9999999606661731 0.77 0.43883
## pers_simplifiedW1(MC):partfunctionAdministrative services:sortOrder4 5.9166666666683723 3.6584851918243131 1091.9999999510037014 1.62 0.10611
## pers_simplifiedW2(LM):partfunctionAdministrative services:sortOrder4 4.2500000000006439 3.6584851918240480 1091.9999999604362984 1.16 0.24562
## pers_simplifiedM2(JA):partfunctionCustomer Experience/Support:sortOrder4 0.1666666666692000 3.5168122695695612 1091.9999999555716386 0.05 0.96221
## pers_simplifiedW1(MC):partfunctionCustomer Experience/Support:sortOrder4 2.5833333333350832 3.5168122695696162 1091.9999999571275566 0.73 0.46276
## pers_simplifiedW2(LM):partfunctionCustomer Experience/Support:sortOrder4 0.9166666666673942 3.5168122695693489 1091.9999999643728188 0.26 0.79441
## pers_simplifiedM2(JA):partfunctionData Analysis:sortOrder4 0.1666666666690953 3.4683021907355545 1091.9999999598853719 0.05 0.96168
## pers_simplifiedW1(MC):partfunctionData Analysis:sortOrder4 3.9166666666683283 3.4683021907356095 1091.9999999615315573 1.13 0.25903
## pers_simplifiedW2(LM):partfunctionData Analysis:sortOrder4 2.2500000000006422 3.4683021907353524 1091.9999999596793714 0.65 0.51665
## pers_simplifiedM2(JA):partfunctionDesign or creative services:sortOrder4 3.1666666666691046 3.7045056825346907 1091.9999999568142357 0.85 0.39284
## pers_simplifiedW1(MC):partfunctionDesign or creative services:sortOrder4 3.5833333333350001 3.7045056825347435 1091.9999999555359409 0.97 0.33361
## pers_simplifiedW2(LM):partfunctionDesign or creative services:sortOrder4 4.9166666666673216 3.7045056825345011 1091.9999999565902726 1.33 0.18472
## pers_simplifiedM2(JA):partfunctionFinancial services:sortOrder4 1.1666666666690941 3.5646622550431375 1091.9999999603101060 0.33 0.74351
## pers_simplifiedW1(MC):partfunctionFinancial services:sortOrder4 5.5833333333349842 3.5646622550431970 1091.9999999603828655 1.57 0.11757
## pers_simplifiedW2(LM):partfunctionFinancial services:sortOrder4 4.9166666666673065 3.5646622550429532 1091.9999999600836418 1.38 0.16809
## pers_simplifiedM2(JA):partfunctionHealthcare:sortOrder4 1.8333333333358082 3.4437909140500786 1091.9999999629476406 0.53 0.59459
## pers_simplifiedW1(MC):partfunctionHealthcare:sortOrder4 4.2500000000017106 3.4437909140501346 1091.9999999535177722 1.23 0.21743
## pers_simplifiedW2(LM):partfunctionHealthcare:sortOrder4 4.5833333333340294 3.4437909140498735 1091.9999999626870704 1.33 0.18350
## pers_simplifiedM2(JA):partfunctionHuman Resources:sortOrder4 1.3333333333358133 3.5168122695695727 1091.9999999570727596 0.38 0.70466
## pers_simplifiedW1(MC):partfunctionHuman Resources:sortOrder4 2.4166666666683625 3.5168122695696287 1091.9999999646736342 0.69 0.49212
## pers_simplifiedW2(LM):partfunctionHuman Resources:sortOrder4 2.5833333333340112 3.5168122695693680 1091.9999999553315320 0.73 0.46276
## pers_simplifiedM2(JA):partfunctionInformation Technology (IT):sortOrder4 1.2666666666691120 3.4780583343135398 1091.9999999620890776 0.36 0.71579
## pers_simplifiedW1(MC):partfunctionInformation Technology (IT):sortOrder4 2.4833333333350081 3.4780583343135949 1091.9999999622064024 0.71 0.47538
## pers_simplifiedW2(LM):partfunctionInformation Technology (IT):sortOrder4 1.5166666666673172 3.4780583343133356 1091.9999999618319180 0.44 0.66287
## pers_simplifiedM2(JA):partfunctionMarketing:sortOrder4 1.6666666666691135 3.5646622550431495 1091.9999999603246579 0.47 0.64020
## pers_simplifiedW1(MC):partfunctionMarketing:sortOrder4 1.5833333333350059 3.5646622550432028 1091.9999999603892320 0.44 0.65700
## pers_simplifiedW2(LM):partfunctionMarketing:sortOrder4 4.4166666666673233 3.5646622550429505 1091.9999999600809133 1.24 0.21561
## pers_simplifiedM2(JA):partfunctionOperations:sortOrder4 2.8333333333357893 3.4191039225397506 1091.9999999564599875 0.83 0.40747
## pers_simplifiedW1(MC):partfunctionOperations:sortOrder4 1.4166666666683372 3.4191039225398017 1091.9999999645424396 0.41 0.67871
## pers_simplifiedW2(LM):partfunctionOperations:sortOrder4 2.0833333333339907 3.4191039225395348 1091.9999999657250100 0.61 0.54244
## pers_simplifiedM2(JA):partfunctionProject Management:sortOrder4 2.6666666666691090 3.7045056825346965 1091.9999999636079338 0.72 0.47178
## pers_simplifiedW1(MC):partfunctionProject Management:sortOrder4 3.0833333333350068 3.7045056825347480 1091.9999999568817657 0.83 0.40541
## pers_simplifiedW2(LM):partfunctionProject Management:sortOrder4 1.9166666666673260 3.7045056825345091 1091.9999999552596819 0.52 0.60499
## pers_simplifiedM2(JA):partfunctionSales:sortOrder4 1.6666666666692065 3.2670669221373876 1091.9999999501146704 0.51 0.61006
## pers_simplifiedW1(MC):partfunctionSales:sortOrder4 1.0833333333351085 3.2670669221374777 1091.9999999607375685 0.33 0.74026
## pers_simplifiedW2(LM):partfunctionSales:sortOrder4 2.9166666666674792 3.2670669221372184 1091.9999999621140887 0.89 0.37219
## deiexpert_fNo one has DEI Quals.:partfunctionAccounting:sortOrder3 -0.9166666666689773 2.8068178664403547 1091.9999999559634034 -0.33 0.74404
## deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder3 -2.9452380952382127 2.9267054559715140 1091.9999999596534508 -1.01 0.31448
## deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder3 1.0714285714307465 2.0521701204424763 1091.9999999666074473 0.52 0.60171
## deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 -1.7500000000009130 3.6930543238148803 1091.9999999614476565 -0.47 0.63569
## deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 2.9166666666682137 2.6516231637490693 1091.9999999590143034 1.10 0.27159
## deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder3 -2.4166666666689469 2.7764729980321512 1091.9999999605581706 -0.87 0.38427
## deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services:sortOrder3 -0.7499999999977711 2.2732001474340575 1091.9999999545630089 -0.33 0.74152
## deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder3 -1.7500000000006304 3.7948727591581797 1091.9999999639258021 -0.46 0.64478
## deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services:sortOrder3 0.3666666666683230 2.6097612741386449 1091.9999999580381882 0.14 0.88829
## deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder3 -4.6666666666666607 2.8959453059529330 1091.9999999602791831 -1.61 0.10737
## deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder3 -3.2857142857119301 2.1331316547205610 1091.9999999666542863 -1.54 0.12377
## deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder3 0.0833333333332778 2.9250510152197733 1091.9999999692538495 0.03 0.97728
## deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 -5.3642857142855922 2.8085419562017040 1091.9999999589990693 -1.91 0.05640 .
## deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 -0.5238095238071021 1.9617212567448667 1091.9999999565252438 -0.27 0.78951
## deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder3 -0.9999999999977396 2.5705145080536518 1091.9999999617464255 -0.39 0.69733
## deiexpert_fWoman Has DEI Quals.:partfunctionMarketing:sortOrder3 4.9166666666683954 2.9824104168891701 1091.9999999620615654 1.65 0.09953 .
## deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering:sortOrder3 -4.4166666666689780 3.1482244605767526 1091.9999999556623607 -1.40 0.16093
## deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder3 1.3071428571450920 1.8750980678863485 1091.9999999562287485 0.70 0.48588
## deiexpert_fNo one has DEI Quals.:partfunctionProject Management:sortOrder3 -2.5833333333332815 2.9538699477474224 1091.9999999670751549 -0.87 0.38201
## deiexpert_fNo one has DEI Quals.:partfunctionSales:sortOrder3 -2.1500000000002522 2.6896866870352825 1091.9999999582669261 -0.80 0.42426
## deiexpert_fWoman Has DEI Quals.:partfunctionSales:sortOrder3 0.8452380952400579 2.1528963676066870 1091.9999999625483724 0.39 0.69469
## deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder2 -3.8333333333329196 1.6464469700155371 1091.9999999593435405 -2.33 0.02008 *
## deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder2 -0.3333333333328388 1.7941739895489770 1091.9999999575240963 -0.19 0.85265
## deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder2 -1.4166666666669765 1.9953619532119704 1091.9999999618280526 -0.71 0.47787
## deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder2 1.4999999999998976 1.7941739895490068 1091.9999999576416485 0.84 0.40332
## deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder2 -0.1666666666667469 1.9524459269744110 1091.9999999555220711 -0.09 0.93199
## deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder2 -2.8333333333327788 1.4173521996549805 1091.9999999649494384 -2.00 0.04585 *
## deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder2 -4.7023809523802349 1.6676263555705408 1091.9999999529093202 -2.82 0.00489 **
## deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder2 -2.1666666666662118 1.7941739895491036 1091.9999999592607764 -1.21 0.22746
## deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources:sortOrder2 -1.4999999999994214 1.8407836731515066 1091.9999999580506937 -0.81 0.41532
## deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 -5.0666666666660589 1.3145824854242496 1091.9999999619872142 -3.85 0.00012 ***
## deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 -4.2595238095231052 1.6235014309092783 1091.9999999596245743 -2.62 0.00882 **
## deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder2 -3.9166666666660954 2.3101651752337080 1091.9999999608044163 -1.70 0.09028 .
## deiexpert_fNo one has DEI Quals.:partfunctionOperations:sortOrder2 -0.9388888888884158 1.2863552954524173 1091.9999999606327492 -0.73 0.46562
## deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder2 -1.4888888888883229 1.5244460112047138 1091.9999999658416527 -0.98 0.32895
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionAccounting:sortOrder3 -1.8333333333294104 3.9694398938310460 1091.9999999571466560 -0.46 0.64427
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionAccounting:sortOrder3 3.5833333333366255 3.9694398938308861 1091.9999999558033323 0.90 0.36687
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionAccounting:sortOrder3 1.9166666666693108 3.9694398938308142 1091.9999999557242063 0.48 0.62929
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder3 4.5000000000024221 4.1389865489062974 1091.9999999575572929 1.09 0.27718
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder3 4.6785714285730586 4.1389865489061366 1091.9999999595363533 1.13 0.25857
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder3 2.6023809523811972 4.1389865489059359 1091.9999999593239863 0.63 0.52965
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder3 0.8333333333318008 2.9022068166270083 1091.9999999672561444 0.29 0.77406
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder3 -1.4047619047635522 2.9022068166267210 1091.9999999535825737 -0.48 0.62846
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder3 -3.7142857142880485 2.9022068166268777 1091.9999999670594661 -1.28 0.20088
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 2.0000000000040039 5.2227675113196241 1091.9999999614649369 0.38 0.70184
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 4.3333333333363138 5.2227675113195655 1091.9999999601097898 0.83 0.40689
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 0.6666666666680424 5.2227675113191365 1091.9999999610570285 0.13 0.89845
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 -3.1666666666668064 3.7499614404769530 1091.9999999594390374 -0.84 0.39860
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 -3.2500000000005271 3.7499614404767434 1091.9999999605031462 -0.87 0.38631
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder3 -5.2500000000014531 3.7499614404767816 1091.9999999512681370 -1.40 0.16179
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder3 0.6666666666705421 3.9265257693797322 1091.9999999605317953 0.17 0.86521
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder3 4.4166666666699514 3.9265257693795865 1091.9999999591768756 1.12 0.26091
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder3 4.5833333333359496 3.9265257693795088 1091.9999999602835032 1.17 0.24335
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services:sortOrder3 4.3333333333317805 3.2147904784901429 1091.9999999551348537 1.35 0.17796
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services:sortOrder3 0.1666666666649339 3.2147904784898529 1091.9999999547410425 0.05 0.95866
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionDesign or creative services:sortOrder3 -1.5000000000024003 3.2147904784900483 1091.9999999567851319 -0.47 0.64088
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder3 0.5000000000036074 5.3667605234816396 1091.9999999560875494 0.09 0.92579
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder3 3.3333333333359012 5.3667605234815907 1091.9999999560473043 0.62 0.53466
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder3 3.1666666666676986 5.3667605234813012 1091.9999999635961103 0.59 0.55528
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services:sortOrder3 -1.2166666666669468 3.6907597884433168 1091.9999999584606485 -0.33 0.74173
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services:sortOrder3 0.6499999999993001 3.6907597884430716 1091.9999999581280008 0.18 0.86024
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionFinancial services:sortOrder3 -0.9000000000015881 3.6907597884431667 1091.9999999582821602 -0.24 0.80739
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder3 7.6666666666689407 4.0954851275693773 1091.9999999468830083 1.87 0.06148 .
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder3 5.0833333333348429 4.0954851275692254 1091.9999999601559466 1.24 0.21480
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder3 5.9166666666668215 4.0954851275690487 1091.9999999599679086 1.44 0.14883
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder3 6.7380952380935408 3.0167037164336277 1091.9999999549850145 2.23 0.02571 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder3 3.5476190476172067 3.0167037164333381 1091.9999999545652827 1.18 0.23985
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder3 2.8571428571403152 3.0167037164334927 1091.9999999527669843 0.95 0.34379
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder3 -0.3333333333310056 4.1366468163570138 1091.9999999583224053 -0.08 0.93579
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder3 0.4166666666681969 4.1366468163568726 1091.9999999559563548 0.10 0.91979
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder3 -0.4166666666664573 4.1366468163566967 1091.9999999579881660 -0.10 0.91979
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 8.9571428571449125 3.9718781249543538 1091.9999999590436346 2.26 0.02432 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 6.9833333333346239 3.9718781249541948 1091.9999999600704541 1.76 0.07899 .
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 5.5166666666666204 3.9718781249540007 1091.9999999598571776 1.39 0.16514
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 2.2142857142838563 2.7742928068846204 1091.9999999572139586 0.80 0.42496
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 1.9761904761884748 2.7742928068843131 1091.9999999555357135 0.71 0.47642
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder3 -2.0952380952407634 2.7742928068845081 1091.9999999569997726 -0.76 0.45027
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder3 2.9999999999983822 3.6352564795666207 1091.9999999536321411 0.83 0.40941
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder3 0.4999999999982173 3.6352564795663813 1091.9999999618271431 0.14 0.89063
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder3 0.4999999999975460 3.6352564795665216 1091.9999999634310370 0.14 0.89063
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionMarketing:sortOrder3 -10.6666666666670800 4.2177652601277424 1091.9999999623537406 -2.53 0.01158 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionMarketing:sortOrder3 -2.7500000000007820 4.2177652601275462 1091.9999999495464635 -0.65 0.51454
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionMarketing:sortOrder3 -6.2500000000016840 4.2177652601276234 1091.9999999496260443 -1.48 0.13867
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering:sortOrder3 6.6666666666705696 4.4522617295423466 1091.9999999574993126 1.50 0.13459
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering:sortOrder3 5.0833333333366237 4.4522617295422107 1091.9999999573076366 1.14 0.25381
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionMechanical Engineering:sortOrder3 5.9166666666693155 4.4522617295421325 1091.9999999685992407 1.33 0.18415
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder3 0.9376623376607388 2.6517891183849294 1091.9999999662391019 0.35 0.72371
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder3 -2.2597402597420095 2.6517891183846021 1091.9999999577282779 -0.85 0.39431
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder3 -3.9064935064959059 2.6517891183847913 1091.9999999580813892 -1.47 0.14100
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionProject Management:sortOrder3 6.0000000000021911 4.1774029415907368 1091.9999999671026671 1.44 0.15120
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionProject Management:sortOrder3 4.7500000000013873 4.1774029415905822 1091.9999999648334779 1.14 0.25576
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionProject Management:sortOrder3 -0.4166666666666009 4.1774029415904090 1091.9999999539120381 -0.10 0.92057
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionSales:sortOrder3 3.9500000000025177 3.8037913913396628 1091.9999999570052296 1.04 0.29930
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionSales:sortOrder3 1.5833333333350608 3.8037913913395425 1091.9999999581380052 0.42 0.67731
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionSales:sortOrder3 3.0666666666671252 3.8037913913393480 1091.9999999566830411 0.81 0.42030
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionSales:sortOrder3 -0.7738095238103739 3.0446552414535777 1091.9999999631627361 -0.25 0.79942
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionSales:sortOrder3 0.3928571428559708 3.0446552414533059 1091.9999999627732450 0.13 0.89736
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionSales:sortOrder3 -3.0000000000020197 3.0446552414534280 1091.9999999507931534 -0.99 0.32468
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder2 5.1666666666662229 2.3284276347240631 1091.9999999577041763 2.22 0.02670 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder2 5.4999999999995763 2.3284276347240636 1091.9999999577055405 2.36 0.01835 *
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionAdministrative services:sortOrder2 4.6666666666660594 2.3284276347240516 1091.9999999576830305 2.00 0.04529 *
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder2 3.8333333333321429 2.5373451892771643 1091.9999999574511094 1.51 0.13114
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder2 -1.8333333333342468 2.5373451892772199 1091.9999999589747404 -0.72 0.47012
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionAdministrative services:sortOrder2 -0.6666666666673895 2.5373451892771484 1091.9999999588519586 -0.26 0.79280
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder2 0.1666666666676926 2.8218679360756629 1091.9999999548285814 0.06 0.95291
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder2 3.5833333333341395 2.8218679360756633 1091.9999999548290361 1.27 0.20441
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionCustomer Experience/Support:sortOrder2 1.9166666666671086 2.8218679360755630 1091.9999999617125468 0.68 0.49714
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder2 -5.9999999999992939 2.5373451892772558 1091.9999999590370408 -2.36 0.01822 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder2 1.5000000000005453 2.5373451892772652 1091.9999999590531843 0.59 0.55453
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionData Analysis:sortOrder2 -1.4999999999998019 2.5373451892771954 1091.9999999575497895 -0.59 0.55453
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder2 -3.8333333333326429 2.7611755097273170 1091.9999999616234163 -1.39 0.16533
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder2 3.0833333333338255 2.7611755097273250 1091.9999999616741206 1.12 0.26438
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionFinancial services:sortOrder2 1.4166666666668286 2.7611755097272725 1091.9999999554447641 0.51 0.60801
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder2 5.4404761904755627 2.0044387034114206 1091.9999999510180260 2.71 0.00675 **
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder2 3.1904761904756116 2.0044387034114166 1091.9999999510089310 1.59 0.11174
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionHealthcare:sortOrder2 2.7023809523802353 2.0044387034114046 1091.9999999649339770 1.35 0.17787
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder2 8.9952380952366742 2.3583798090186487 1091.9999999645883690 3.81 0.00014 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder2 3.9214285714274095 2.3583798090187122 1091.9999999529240995 1.66 0.09665 .
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionHealthcare:sortOrder2 5.8928571428561733 2.3583798090186097 1091.9999999527331056 2.50 0.01261 *
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder2 0.6666666666661534 2.5373451892773877 1091.9999999578351435 0.26 0.79280
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder2 4.1666666666661643 2.5373451892773837 1091.9999999592569111 1.64 0.10085
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionHuman Resources:sortOrder2 3.8333333333327233 2.5373451892773828 1091.9999999592555469 1.51 0.13114
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources:sortOrder2 2.7499999999987357 2.6032612359657845 1091.9999999579854375 1.06 0.29103
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources:sortOrder2 2.5833333333322956 2.6032612359658414 1091.9999999593953817 0.99 0.32125
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionHuman Resources:sortOrder2 0.6666666666658551 2.6032612359657694 1091.9999999593162556 0.26 0.79793
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 7.2666666666659303 1.8591003797451093 1091.9999999538874818 3.91 0.000099 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 7.2333333333326237 1.8591003797450947 1091.9999999538531483 3.89 0.00011 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 5.7666666666658344 1.8591003797450936 1091.9999999619590199 3.10 0.00197 **
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 8.2904761904747364 2.2959777421239806 1091.9999999594811015 3.61 0.00032 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 4.1595238095225824 2.2959777421240308 1091.9999999595761437 1.81 0.07031 .
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionInformation Technology (IT):sortOrder2 4.5880952380942377 2.2959777421239478 1091.9999999594181190 2.00 0.04593 *
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder2 7.6666666666653986 3.2670669221375013 1091.9999999624924385 2.35 0.01912 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder2 1.2499999999989568 3.2670669221375439 1091.9999999608262442 0.38 0.70209
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionLegal services:sortOrder2 6.7499999999991864 3.2670669221374862 1091.9999999624724296 2.07 0.03906 *
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:partfunctionOperations:sortOrder2 3.4888888888883405 1.8191811048592625 1091.9999999605993253 1.92 0.05539 .
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:partfunctionOperations:sortOrder2 0.0833333333327959 1.8191811048592499 1091.9999999606127403 0.05 0.96347
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:partfunctionOperations:sortOrder2 0.1833333333327156 1.8191811048592539 1091.9999999605784069 0.10 0.91975
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder2 5.0222222222209627 2.1558922241512350 1091.9999999657636636 2.33 0.02001 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder2 -0.6500000000010384 2.1558922241512923 1091.9999999519045559 -0.30 0.76309
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:partfunctionOperations:sortOrder2 1.5833333333325448 2.1558922241512066 1091.9999999637902874 0.73 0.46285
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 4208 columns / coefficients
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ pers_simplified * deiexpert_f + sort + partfunction + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6998
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.611 -0.535 0.027 0.577 2.726
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.576 0.759
## Residual 1.527 1.236
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.3822 0.9975 409.7628 5.40 0.00000011571117041 ***
## pers_simplifiedM2(JA) -1.4755 0.1369 1542.0000 -10.78 < 0.0000000000000002 ***
## pers_simplifiedW1(MC) -1.1871 0.1369 1542.0000 -8.67 < 0.0000000000000002 ***
## pers_simplifiedW2(LM) -1.2638 0.1369 1542.0000 -9.23 < 0.0000000000000002 ***
## deiexpert_fNo one has DEI Quals. -1.4862 0.1754 1125.9592 -8.47 < 0.0000000000000002 ***
## deiexpert_fWoman Has DEI Quals. -1.9485 0.1656 1234.0385 -11.76 < 0.0000000000000002 ***
## sortOrder3 0.0971 0.1214 404.0000 0.80 0.424
## sortOrder2 -0.2131 0.1244 404.0000 -1.71 0.087 .
## sortOrder4 -0.1004 0.2046 404.0000 -0.49 0.624
## partfunctionAccount Management -0.1227 1.1363 403.9999 -0.11 0.914
## partfunctionAccounting 0.2584 1.0287 403.9999 0.25 0.802
## partfunctionAdministrative Assistant 0.0302 1.3954 403.9999 0.02 0.983
## partfunctionAdministrative services 0.6013 0.9972 403.9999 0.60 0.547
## partfunctionassistant manger -0.2477 1.3952 403.9999 -0.18 0.859
## partfunctionBook editor 2.1619 1.3899 403.9999 1.56 0.121
## partfunctionBusiness Development 0.2713 1.0638 403.9999 0.25 0.799
## partfunctionCase manager -0.6595 1.3900 403.9999 -0.47 0.635
## partfunctionchildcare 0.6619 1.3899 403.9999 0.48 0.634
## partfunctionCivil Engineering 0.7268 1.0795 403.9999 0.67 0.501
## partfunctioncollege educator 0.7155 1.3900 403.9999 0.51 0.607
## partfunctionCommunications 0.3626 1.0607 403.9999 0.34 0.733
## partfunctionConstruction 2.5994 1.3951 403.9999 1.86 0.063 .
## partfunctionConstruction, system management 0.5625 1.3894 403.9999 0.40 0.686
## partfunctionConsultant 0.5000 1.3843 403.9999 0.36 0.718
## partfunctioncopywriter 0.3750 1.3843 403.9999 0.27 0.787
## partfunctionCustomer Experience/Support 0.9854 1.0073 403.9999 0.98 0.329
## partfunctionData Analysis 0.7581 1.0070 403.9999 0.75 0.452
## partfunctiondATA COLLECTION 0.9655 1.3900 403.9999 0.69 0.488
## partfunctionData Processing -0.4977 1.3952 403.9999 -0.36 0.722
## partfunctionDesign 2.9655 1.3900 403.9999 2.13 0.033 *
## partfunctionDesign or creative services 0.2801 1.0202 403.9999 0.27 0.784
## partfunctionDisaster restoration 0.4744 1.3951 403.9999 0.34 0.734
## partfunctionEducation -0.0911 1.1354 403.9999 -0.08 0.936
## partfunctionEducation 0.6619 1.3899 403.9999 0.48 0.634
## partfunctioneducation administration 1.7522 1.3951 403.9999 1.26 0.210
## partfunctionEducational instructor 0.9375 1.3894 403.9999 0.67 0.500
## partfunctionElectrical Engineering 0.7244 1.3951 403.9999 0.52 0.604
## partfunctionElectrical maintenance 0.0369 1.3899 403.9999 0.03 0.979
## partfunctionEmployee -0.4978 1.3951 403.9999 -0.36 0.721
## partfunctionEntertainment 1.9655 1.3900 403.9999 1.41 0.158
## partfunctionEnvironmental science and remediation services 0.3125 1.3894 403.9999 0.22 0.822
## partfunctionEverything- hiring, firing, operations, purchases for company and office . 0.2522 1.3951 403.9999 0.18 0.857
## partfunctionFaculty 0.8750 1.3843 403.9999 0.63 0.528
## partfunctionFinancial services 0.6504 1.0035 403.9999 0.65 0.517
## partfunctionFireplace Installer -0.0625 1.3894 403.9999 -0.04 0.964
## partfunctionFood delivery 1.0302 1.3954 403.9999 0.74 0.461
## partfunctionForman 1.3750 1.3843 403.9999 0.99 0.321
## partfunctionFreelance gigworker -0.1228 1.3951 403.9999 -0.09 0.930
## partfunctiongas fitter -1.1250 1.3843 403.9999 -0.81 0.417
## partfunctionGeological lab testing 0.5647 1.3899 403.9999 0.41 0.685
## partfunctionGrocery Management 0.5022 1.3951 403.9999 0.36 0.719
## partfunctionGrocery Sales 1.3750 1.3843 403.9999 0.99 0.321
## partfunctionHealthcare 0.5401 0.9948 403.9999 0.54 0.587
## partfunctionHomehealth Manager 2.8527 1.3987 403.9999 2.04 0.042 *
## partfunctionHuman Resources 0.5656 1.0067 403.9999 0.56 0.575
## partfunctionI am the rental property owner/manager. 0.6897 1.3899 403.9999 0.50 0.620
## partfunctionI an associate. 0.6619 1.3899 403.9999 0.48 0.634
## partfunctioni'm a small business owner -- sole proprietorship that provides tutoring and academic consulting 0.2522 1.3951 403.9999 0.18 0.857
## partfunctionindividual contributor 1.0647 1.3899 403.9999 0.77 0.444
## partfunctionInformation Networking 2.0625 1.3894 403.9999 1.48 0.138
## partfunctionInformation Security 0.4744 1.2112 403.9999 0.39 0.696
## partfunctionInformation Technology (IT) 0.7362 0.9932 403.9999 0.74 0.459
## partfunctionjanitor/cleaner 1.1875 1.3894 403.9999 0.85 0.393
## partfunctionLegal services 0.4100 1.0427 403.9999 0.39 0.694
## partfunctionLibrary Assistant 1.3772 1.3951 403.9999 0.99 0.324
## partfunctionlibrary worker 0.2802 1.3954 403.9999 0.20 0.841
## partfunctionmaintenance manager 0.8494 1.3951 403.9999 0.61 0.543
## partfunctionmaintenance mechanic 0.1027 1.3987 403.9999 0.07 0.941
## partfunctionManagement 0.8750 1.3843 403.9999 0.63 0.528
## partfunctionmanager -0.0256 1.3951 403.9999 -0.02 0.985
## partfunctionManual Laborer -0.2723 1.3987 403.9999 -0.19 0.846
## partfunctionManufacturing 0.5647 1.3899 403.9999 0.41 0.685
## partfunctionMarketing 0.8550 1.0438 403.9999 0.82 0.413
## partfunctionMechanical Engineering 0.5817 1.0492 403.9999 0.55 0.580
## partfunctionMedia Clerk 2.1027 1.3987 403.9999 1.50 0.134
## partfunctionOperations 0.1717 0.9915 403.9999 0.17 0.863
## partfunctionPackage delivery 1.8527 1.3987 403.9999 1.32 0.186
## partfunctionPatient recruitment -0.4353 1.3899 403.9999 -0.31 0.754
## partfunctionPersonal assistant 1.3147 1.3899 403.9999 0.95 0.345
## partfunctionPhotographer -0.3381 1.3899 403.9999 -0.24 0.808
## partfunctionPrinter Operator 1.0000 1.3843 403.9999 0.72 0.470
## partfunctionPrivate Education 0.1619 1.3899 403.9999 0.12 0.907
## partfunctionProduct Management 0.5773 1.0432 403.9999 0.55 0.580
## partfunctionProgram Management 0.9763 1.0977 403.9999 0.89 0.374
## partfunctionProject Management 0.4536 1.0198 403.9999 0.44 0.657
## partfunctionProperty technician -0.3103 1.3899 403.9999 -0.22 0.823
## partfunctionPublic Relations 0.1273 1.2081 403.9999 0.11 0.916
## partfunctionPurchasing agent -0.5948 1.3954 403.9999 -0.43 0.670
## partfunctionResearch development -1.7756 1.3951 403.9999 -1.27 0.204
## partfunctionSales 0.7036 0.9955 403.9999 0.71 0.480
## partfunctionSchool Safety 1.6552 1.3954 403.9999 1.19 0.236
## partfunctionSchool/Education -0.7478 1.3951 403.9999 -0.54 0.592
## partfunctionscientific research consulting 1.0000 1.3843 403.9999 0.72 0.470
## partfunctionScientist 0.4655 1.3900 403.9999 0.33 0.738
## partfunctionSenior Scientist 0.6027 1.3987 403.9999 0.43 0.667
## partfunctionSkilled tradesman -2.3381 1.3899 403.9999 -1.68 0.093 .
## partfunctionSocial worker -0.4978 1.3951 403.9999 -0.36 0.721
## partfunctionSoftware Engineering 0.6813 1.0318 403.9999 0.66 0.509
## partfunctionSpecial Education Paraprofessional -0.3125 1.3894 403.9999 -0.22 0.822
## partfunctionState infrastructure 0.2802 1.3954 403.9999 0.20 0.841
## partfunctionSupport students with IEPs 0.3494 1.3951 403.9999 0.25 0.802
## partfunctionTeach High Shcool 1.0647 1.3899 403.9999 0.77 0.444
## partfunctionteacher 0.8527 1.3987 403.9999 0.61 0.542
## partfunctionTeacher -0.3415 1.2068 403.9999 -0.28 0.777
## partfunctionTeacher 0.8750 1.3843 403.9999 0.63 0.528
## partfunctionTeacher assistant -0.3448 1.3954 403.9999 -0.25 0.805
## partfunctionTeaching 0.8125 1.3894 403.9999 0.58 0.559
## partfunctionTeaching English 0.9052 1.3954 403.9999 0.65 0.517
## partfunctiontechnical writer 0.0625 1.3894 403.9999 0.04 0.964
## partfunctionTo do manual labor and greet customers 0.7523 1.3952 403.9999 0.54 0.590
## partfunctiontranscription 0.1619 1.3899 403.9999 0.12 0.907
## partfunctionTutor/teacher -0.7500 1.3843 403.9999 -0.54 0.588
## partfunctionVolunteer 0.8494 1.3951 403.9999 0.61 0.543
## partfunctionWarehouse worker 2.5022 1.3951 403.9999 1.79 0.074 .
## partfunctionwarehousing -0.0881 1.3899 403.9999 -0.06 0.949
## partfunctionWorker -0.0625 1.3894 403.9999 -0.04 0.964
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.5720 0.1913 1542.0000 8.22 0.00000000000000044 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.8333 0.1913 1542.0000 9.58 < 0.0000000000000002 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 1.9275 0.1913 1542.0000 10.07 < 0.0000000000000002 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.6394 0.1882 1542.0000 8.71 < 0.0000000000000002 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.5888 0.1882 1542.0000 8.44 < 0.0000000000000002 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 3.3157 0.1882 1542.0000 17.61 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ pers_simplified * deiexpert_f + sort + partfunction + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7307
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.179 -0.528 0.048 0.582 2.794
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.91 0.954
## Residual 1.71 1.308
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.35608 1.17773 408.61890 4.55 0.00000715370481560 ***
## pers_simplifiedM2(JA) -1.33129 0.14485 1542.00001 -9.19 < 0.0000000000000002 ***
## pers_simplifiedW1(MC) -0.80061 0.14485 1542.00001 -5.53 0.00000003813713767 ***
## pers_simplifiedW2(LM) -1.14110 0.14485 1542.00001 -7.88 0.00000000000000624 ***
## deiexpert_fNo one has DEI Quals. -1.43744 0.19785 986.94202 -7.27 0.00000000000075591 ***
## deiexpert_fWoman Has DEI Quals. -1.89821 0.18608 1081.07706 -10.20 < 0.0000000000000002 ***
## sortOrder3 -0.01690 0.14342 403.99998 -0.12 0.906
## sortOrder2 -0.34449 0.14692 403.99998 -2.34 0.020 *
## sortOrder4 -0.20483 0.24175 403.99999 -0.85 0.397
## partfunctionAccount Management 0.67349 1.34257 403.99980 0.50 0.616
## partfunctionAccounting 0.13106 1.21546 403.99976 0.11 0.914
## partfunctionAdministrative Assistant 0.06756 1.64866 403.99986 0.04 0.967
## partfunctionAdministrative services 0.49796 1.17817 403.99975 0.42 0.673
## partfunctionassistant manger -0.32435 1.64845 403.99986 -0.20 0.844
## partfunctionBook editor 2.03051 1.64217 403.99986 1.24 0.217
## partfunctionBusiness Development 0.06968 1.25687 403.99978 0.06 0.956
## partfunctionCase manager -0.35486 1.64229 403.99987 -0.22 0.829
## partfunctionchildcare 0.65551 1.64217 403.99986 0.40 0.690
## partfunctionCivil Engineering 0.92257 1.27538 403.99978 0.72 0.470
## partfunctioncollege educator 1.02014 1.64229 403.99987 0.62 0.535
## partfunctionCommunications 0.37538 1.25324 403.99978 0.30 0.765
## partfunctionConstruction 2.46217 1.64825 403.99986 1.49 0.136
## partfunctionConstruction, system management 0.30666 1.64161 403.99986 0.19 0.852
## partfunctionConsultant 0.50000 1.63558 403.99987 0.31 0.760
## partfunctioncopywriter -0.75000 1.63558 403.99987 -0.46 0.647
## partfunctionCustomer Experience/Support 1.15416 1.19009 403.99975 0.97 0.333
## partfunctionData Analysis 0.99757 1.18974 403.99975 0.84 0.402
## partfunctiondATA COLLECTION 0.64514 1.64229 403.99987 0.39 0.695
## partfunctionData Processing -0.57435 1.64845 403.99986 -0.35 0.728
## partfunctionDesign 2.64514 1.64229 403.99987 1.61 0.108
## partfunctionDesign or creative services 0.58001 1.20533 403.99976 0.48 0.631
## partfunctionDisaster restoration 0.83717 1.64825 403.99986 0.51 0.612
## partfunctionEducation -0.72792 1.34150 403.99980 -0.54 0.588
## partfunctionEducation 0.78051 1.64217 403.99986 0.48 0.635
## partfunctioneducation administration 1.72907 1.64827 403.99986 1.05 0.295
## partfunctionEducational instructor 1.18166 1.64161 403.99986 0.72 0.472
## partfunctionElectrical Engineering 0.46217 1.64825 403.99986 0.28 0.779
## partfunctionElectrical maintenance 0.65551 1.64217 403.99986 0.40 0.690
## partfunctionEmployee -2.39593 1.64827 403.99986 -1.45 0.147
## partfunctionEntertainment 2.02014 1.64229 403.99987 1.23 0.219
## partfunctionEnvironmental science and remediation services -1.06834 1.64161 403.99986 -0.65 0.516
## partfunctionEverything- hiring, firing, operations, purchases for company and office . 1.47907 1.64827 403.99986 0.90 0.370
## partfunctionFaculty 0.50000 1.63558 403.99987 0.31 0.760
## partfunctionFinancial services 0.68887 1.18564 403.99975 0.58 0.562
## partfunctionFireplace Installer -0.06834 1.64161 403.99986 -0.04 0.967
## partfunctionFood delivery 0.69256 1.64866 403.99986 0.42 0.675
## partfunctionForman 2.00000 1.63558 403.99987 1.22 0.222
## partfunctionFreelance gigworker -0.02093 1.64827 403.99986 -0.01 0.990
## partfunctiongas fitter -1.37500 1.63558 403.99987 -0.84 0.401
## partfunctionGeological lab testing 0.17241 1.64211 403.99986 0.10 0.916
## partfunctionGrocery Management 1.22907 1.64827 403.99986 0.75 0.456
## partfunctionGrocery Sales 2.00000 1.63558 403.99987 1.22 0.222
## partfunctionHealthcare 0.58731 1.17536 403.99975 0.50 0.618
## partfunctionHomehealth Manager 2.88049 1.65253 403.99986 1.74 0.082 .
## partfunctionHuman Resources 0.87139 1.18939 403.99975 0.73 0.464
## partfunctionI am the rental property owner/manager. 0.54741 1.64211 403.99986 0.33 0.739
## partfunctionI an associate. 0.78051 1.64217 403.99986 0.48 0.635
## partfunctioni'm a small business owner -- sole proprietorship that provides tutoring and academic consulting 0.22907 1.64827 403.99986 0.14 0.890
## partfunctionindividual contributor 0.29741 1.64211 403.99987 0.18 0.856
## partfunctionInformation Networking 1.68166 1.64161 403.99986 1.02 0.306
## partfunctionInformation Security 0.46217 1.43107 403.99982 0.32 0.747
## partfunctionInformation Technology (IT) 0.84082 1.17344 403.99975 0.72 0.474
## partfunctionjanitor/cleaner 2.43166 1.64161 403.99986 1.48 0.139
## partfunctionLegal services 0.34210 1.23189 403.99977 0.28 0.781
## partfunctionLibrary Assistant 0.22907 1.64827 403.99986 0.14 0.890
## partfunctionlibrary worker 0.69256 1.64866 403.99986 0.42 0.675
## partfunctionmaintenance manager 1.71217 1.64825 403.99986 1.04 0.300
## partfunctionmaintenance mechanic -0.11951 1.65253 403.99986 -0.07 0.942
## partfunctionManagement 1.62500 1.63558 403.99987 0.99 0.321
## partfunctionmanager -0.53783 1.64825 403.99986 -0.33 0.744
## partfunctionManual Laborer 0.25549 1.65253 403.99986 0.15 0.877
## partfunctionManufacturing 0.29741 1.64211 403.99987 0.18 0.856
## partfunctionMarketing 0.91505 1.23329 403.99977 0.74 0.459
## partfunctionMechanical Engineering 1.33968 1.23968 403.99977 1.08 0.280
## partfunctionMedia Clerk 2.63049 1.65253 403.99986 1.59 0.112
## partfunctionOperations 0.40502 1.17145 403.99974 0.35 0.730
## partfunctionPackage delivery 1.63049 1.65253 403.99986 0.99 0.324
## partfunctionPatient recruitment -0.45259 1.64211 403.99986 -0.28 0.783
## partfunctionPersonal assistant 1.29741 1.64211 403.99987 0.79 0.430
## partfunctionPhotographer 1.03051 1.64217 403.99986 0.63 0.531
## partfunctionPrinter Operator 3.12500 1.63558 403.99987 1.91 0.057 .
## partfunctionPrivate Education 0.53051 1.64217 403.99986 0.32 0.747
## partfunctionProduct Management 0.87703 1.23259 403.99977 0.71 0.477
## partfunctionProgram Management 1.21936 1.29697 403.99979 0.94 0.348
## partfunctionProject Management 0.20557 1.20485 403.99976 0.17 0.865
## partfunctionProperty technician -1.57759 1.64211 403.99986 -0.96 0.337
## partfunctionPublic Relations -0.04764 1.42737 403.99982 -0.03 0.973
## partfunctionPurchasing agent -0.30744 1.64866 403.99986 -0.19 0.852
## partfunctionResearch development -2.41283 1.64825 403.99986 -1.46 0.144
## partfunctionSales 0.80594 1.17617 403.99975 0.69 0.494
## partfunctionSchool Safety 0.81756 1.64866 403.99986 0.50 0.620
## partfunctionSchool/Education -0.77093 1.64827 403.99986 -0.47 0.640
## partfunctionscientific research consulting 1.75000 1.63558 403.99987 1.07 0.285
## partfunctionScientist 0.52014 1.64229 403.99987 0.32 0.752
## partfunctionSenior Scientist 0.88049 1.65253 403.99986 0.53 0.594
## partfunctionSkilled tradesman -3.21949 1.64217 403.99986 -1.96 0.051 .
## partfunctionSocial worker -0.52093 1.64827 403.99986 -0.32 0.752
## partfunctionSoftware Engineering 0.97300 1.21905 403.99976 0.80 0.425
## partfunctionSpecial Education Paraprofessional -0.06834 1.64161 403.99986 -0.04 0.967
## partfunctionState infrastructure 0.44256 1.64866 403.99986 0.27 0.789
## partfunctionSupport students with IEPs 0.33717 1.64825 403.99986 0.20 0.838
## partfunctionTeach High Shcool 1.29741 1.64211 403.99987 0.79 0.430
## partfunctionteacher 0.00549 1.65253 403.99986 0.00 0.997
## partfunctionTeacher -1.17426 1.42581 403.99982 -0.82 0.411
## partfunctionTeacher 1.00000 1.63558 403.99987 0.61 0.541
## partfunctionTeacher assistant -0.93244 1.64866 403.99986 -0.57 0.572
## partfunctionTeaching 1.05666 1.64161 403.99986 0.64 0.520
## partfunctionTeaching English 1.81756 1.64866 403.99986 1.10 0.271
## partfunctiontechnical writer 0.80666 1.64161 403.99986 0.49 0.623
## partfunctionTo do manual labor and greet customers 1.42565 1.64845 403.99986 0.86 0.388
## partfunctiontranscription 0.03051 1.64217 403.99986 0.02 0.985
## partfunctionTutor/teacher 0.37500 1.63558 403.99987 0.23 0.819
## partfunctionVolunteer 0.46217 1.64825 403.99986 0.28 0.779
## partfunctionWarehouse worker 2.47907 1.64827 403.99986 1.50 0.133
## partfunctionwarehousing 0.53051 1.64217 403.99986 0.32 0.747
## partfunctionWorker 1.05666 1.64161 403.99986 0.64 0.520
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.41901 0.20244 1542.00001 7.01 0.00000000000356046 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.59301 0.20244 1542.00001 7.87 0.00000000000000667 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 1.88379 0.20244 1542.00001 9.31 < 0.0000000000000002 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.50069 0.19917 1542.00001 7.53 0.00000000000008302 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.63941 0.19917 1542.00001 8.23 0.00000000000000039 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 3.17936 0.19917 1542.00001 15.96 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1But it does seem like we get some variance across qualification sets
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank_r ~ pers_simplified * deiexpert_f * sort + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 5927
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.6952 -0.7117 0.0949 0.5464 2.3785
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0
## Residual 1.01 1
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.8113 0.1379 2028.0000 20.39 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -0.7925 0.1950 2028.0000 -4.06 0.00004991488 ***
## pers_simplifiedW1(MC) -0.7358 0.1950 2028.0000 -3.77 0.00016 ***
## pers_simplifiedW2(LM) 0.2830 0.1950 2028.0000 1.45 0.14674
## deiexpert_fNo one has DEI Quals. -0.0970 0.2073 2028.0000 -0.47 0.63982
## deiexpert_fWoman Has DEI Quals. -0.3447 0.1892 2028.0000 -1.82 0.06863 .
## sortOrder3 -0.9517 0.1915 2028.0000 -4.97 0.00000072786 ***
## sortOrder2 -0.4151 0.1950 2028.0000 -2.13 0.03336 *
## sortOrder4 0.1905 0.2190 2028.0000 0.87 0.38455
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 0.2210 0.2932 2028.0000 0.75 0.45105
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 0.4501 0.2932 2028.0000 1.54 0.12489
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. -0.2830 0.2932 2028.0000 -0.97 0.33453
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 0.2258 0.2675 2028.0000 0.84 0.39882
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 0.3358 0.2675 2028.0000 1.26 0.20952
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 0.8170 0.2675 2028.0000 3.05 0.00229 **
## pers_simplifiedM2(JA):sortOrder3 1.8275 0.2708 2028.0000 6.75 0.00000000002 ***
## pers_simplifiedW1(MC):sortOrder3 1.3148 0.2708 2028.0000 4.85 0.00000129786 ***
## pers_simplifiedW2(LM):sortOrder3 0.6643 0.2708 2028.0000 2.45 0.01425 *
## pers_simplifiedM2(JA):sortOrder2 0.9434 0.2757 2028.0000 3.42 0.00063 ***
## pers_simplifiedW1(MC):sortOrder2 0.6792 0.2757 2028.0000 2.46 0.01384 *
## pers_simplifiedW2(LM):sortOrder2 0.0377 0.2757 2028.0000 0.14 0.89115
## pers_simplifiedM2(JA):sortOrder4 0.3333 0.3097 2028.0000 1.08 0.28194
## pers_simplifiedW1(MC):sortOrder4 0.1667 0.3097 2028.0000 0.54 0.59055
## pers_simplifiedW2(LM):sortOrder4 -1.2619 0.3097 2028.0000 -4.07 0.00004791538 ***
## deiexpert_fNo one has DEI Quals.:sortOrder3 0.7906 0.2865 2028.0000 2.76 0.00584 **
## deiexpert_fWoman Has DEI Quals.:sortOrder3 0.0979 0.2640 2028.0000 0.37 0.71080
## deiexpert_fNo one has DEI Quals.:sortOrder2 -0.2242 0.2952 2028.0000 -0.76 0.44774
## deiexpert_fWoman Has DEI Quals.:sortOrder2 -0.0352 0.2670 2028.0000 -0.13 0.89520
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder3 -1.1285 0.4052 2028.0000 -2.79 0.00540 **
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder3 -1.0504 0.4052 2028.0000 -2.59 0.00960 **
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder3 -0.9835 0.4052 2028.0000 -2.43 0.01530 *
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder3 -0.4222 0.3734 2028.0000 -1.13 0.25833
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder3 -0.0761 0.3734 2028.0000 -0.20 0.83855
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder3 0.1066 0.3734 2028.0000 0.29 0.77525
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder2 -0.5720 0.4175 2028.0000 -1.37 0.17088
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder2 0.2315 0.4175 2028.0000 0.55 0.57939
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder2 1.2373 0.4175 2028.0000 2.96 0.00308 **
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder2 -0.6062 0.3776 2028.0000 -1.61 0.10858
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder2 0.1962 0.3776 2028.0000 0.52 0.60351
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder2 0.5508 0.3776 2028.0000 1.46 0.14486
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 8 columns / coefficients
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ pers_simplified * deiexpert_f * sort + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7039
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.792 -0.531 0.045 0.589 3.119
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.618 0.786
## Residual 1.342 1.158
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.8491 0.1923 1562.1144 30.42 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -1.8774 0.2250 1521.0000 -8.34 < 0.0000000000000002 ***
## pers_simplifiedW1(MC) -1.4151 0.2250 1521.0000 -6.29 0.0000000004184 ***
## pers_simplifiedW2(LM) -0.8019 0.2250 1521.0000 -3.56 0.00038 ***
## deiexpert_fNo one has DEI Quals. -0.7895 0.2892 1562.1144 -2.73 0.00641 **
## deiexpert_fWoman Has DEI Quals. -1.2991 0.2639 1562.1144 -4.92 0.0000009451768 ***
## sortOrder3 -0.0508 0.2671 1562.1144 -0.19 0.84918
## sortOrder2 0.0755 0.2720 1562.1144 0.28 0.78142
## sortOrder4 -0.8333 0.3055 1562.1144 -2.73 0.00645 **
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.2821 0.3384 1521.0000 3.79 0.00016 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.1413 0.3384 1521.0000 3.37 0.00076 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 0.4328 0.3384 1521.0000 1.28 0.20112
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.0774 0.3088 1521.0000 3.49 0.00050 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.0568 0.3088 1521.0000 3.42 0.00064 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 2.2019 0.3088 1521.0000 7.13 0.0000000000015 ***
## pers_simplifiedM2(JA):sortOrder3 0.2809 0.3126 1521.0000 0.90 0.36909
## pers_simplifiedW1(MC):sortOrder3 0.9239 0.3126 1521.0000 2.96 0.00317 **
## pers_simplifiedW2(LM):sortOrder3 -0.3823 0.3126 1521.0000 -1.22 0.22152
## pers_simplifiedM2(JA):sortOrder2 0.9340 0.3182 1521.0000 2.93 0.00339 **
## pers_simplifiedW1(MC):sortOrder2 -0.2925 0.3182 1521.0000 -0.92 0.35827
## pers_simplifiedW2(LM):sortOrder2 -1.0094 0.3182 1521.0000 -3.17 0.00154 **
## pers_simplifiedM2(JA):sortOrder4 0.5000 0.3575 1521.0000 1.40 0.16214
## pers_simplifiedW1(MC):sortOrder4 1.8214 0.3575 1521.0000 5.09 0.0000003926068 ***
## pers_simplifiedW2(LM):sortOrder4 1.2857 0.3575 1521.0000 3.60 0.00033 ***
## deiexpert_fNo one has DEI Quals.:sortOrder3 -0.4662 0.3997 1562.1144 -1.17 0.24364
## deiexpert_fWoman Has DEI Quals.:sortOrder3 -0.7169 0.3683 1562.1144 -1.95 0.05176 .
## deiexpert_fNo one has DEI Quals.:sortOrder2 -1.1350 0.4119 1562.1144 -2.76 0.00592 **
## deiexpert_fWoman Has DEI Quals.:sortOrder2 -1.2320 0.3725 1562.1144 -3.31 0.00096 ***
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder3 1.1229 0.4677 1521.0000 2.40 0.01647 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder3 -0.0543 0.4677 1521.0000 -0.12 0.90757
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder3 1.2407 0.4677 1521.0000 2.65 0.00806 **
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder3 0.6159 0.4310 1521.0000 1.43 0.15319
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder3 0.7006 0.4310 1521.0000 1.63 0.10425
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder3 1.0388 0.4310 1521.0000 2.41 0.01606 *
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder2 -0.1512 0.4820 1521.0000 -0.31 0.75374
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder2 1.2913 0.4820 1521.0000 2.68 0.00746 **
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder2 3.0660 0.4820 1521.0000 6.36 0.0000000002637 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder2 1.0464 0.4359 1521.0000 2.40 0.01649 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder2 0.9213 0.4359 1521.0000 2.11 0.03472 *
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder2 2.2980 0.4359 1521.0000 5.27 0.0000001546071 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 8 columns / coefficients
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ pers_simplified * deiexpert_f * sort + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7442
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.295 -0.520 0.054 0.573 2.848
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.981 0.99
## Residual 1.551 1.25
## Number of obs: 2068, groups: pid, 517
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.8868 0.2186 1398.6280 26.93 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -1.6792 0.2420 1521.0000 -6.94 0.0000000000058 ***
## pers_simplifiedW1(MC) -0.8962 0.2420 1521.0000 -3.70 0.00022 ***
## pers_simplifiedW2(LM) -0.6226 0.2420 1521.0000 -2.57 0.01016 *
## deiexpert_fNo one has DEI Quals. -0.7201 0.3287 1398.6280 -2.19 0.02864 *
## deiexpert_fWoman Has DEI Quals. -1.2035 0.3000 1398.6280 -4.01 0.0000633466327 ***
## sortOrder3 -0.2377 0.3036 1398.6280 -0.78 0.43390
## sortOrder2 0.0755 0.3091 1398.6280 0.24 0.80714
## sortOrder4 -0.9762 0.3472 1398.6280 -2.81 0.00500 **
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 0.9650 0.3639 1521.0000 2.65 0.00809 **
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 0.7534 0.3639 1521.0000 2.07 0.03859 *
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 0.5036 0.3639 1521.0000 1.38 0.16658
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 0.9959 0.3320 1521.0000 3.00 0.00275 **
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 0.9546 0.3320 1521.0000 2.87 0.00410 **
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 1.9226 0.3320 1521.0000 5.79 0.0000000085175 ***
## pers_simplifiedM2(JA):sortOrder3 0.1529 0.3361 1521.0000 0.45 0.64918
## pers_simplifiedW1(MC):sortOrder3 0.7296 0.3361 1521.0000 2.17 0.03012 *
## pers_simplifiedW2(LM):sortOrder3 -0.4475 0.3361 1521.0000 -1.33 0.18323
## pers_simplifiedM2(JA):sortOrder2 0.9057 0.3422 1521.0000 2.65 0.00821 **
## pers_simplifiedW1(MC):sortOrder2 -0.4906 0.3422 1521.0000 -1.43 0.15187
## pers_simplifiedW2(LM):sortOrder2 -1.1132 0.3422 1521.0000 -3.25 0.00117 **
## pers_simplifiedM2(JA):sortOrder4 0.7381 0.3844 1521.0000 1.92 0.05501 .
## pers_simplifiedW1(MC):sortOrder4 1.9643 0.3844 1521.0000 5.11 0.0000003623490 ***
## pers_simplifiedW2(LM):sortOrder4 1.1190 0.3844 1521.0000 2.91 0.00365 **
## deiexpert_fNo one has DEI Quals.:sortOrder3 -0.3120 0.4543 1398.6280 -0.69 0.49233
## deiexpert_fWoman Has DEI Quals.:sortOrder3 -0.5263 0.4186 1398.6280 -1.26 0.20886
## deiexpert_fNo one has DEI Quals.:sortOrder2 -1.2671 0.4681 1398.6280 -2.71 0.00687 **
## deiexpert_fWoman Has DEI Quals.:sortOrder2 -1.4473 0.4234 1398.6280 -3.42 0.00065 ***
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder3 1.2422 0.5029 1521.0000 2.47 0.01361 *
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder3 -0.1293 0.5029 1521.0000 -0.26 0.79718
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder3 1.0985 0.5029 1521.0000 2.18 0.02908 *
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder3 0.5465 0.4634 1521.0000 1.18 0.23841
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder3 0.6557 0.4634 1521.0000 1.41 0.15730
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder3 1.1959 0.4634 1521.0000 2.58 0.00995 **
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals.:sortOrder2 0.1086 0.5182 1521.0000 0.21 0.83399
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals.:sortOrder2 1.7209 0.5182 1521.0000 3.32 0.00092 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals.:sortOrder2 2.8573 0.5182 1521.0000 5.51 0.0000000411702 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals.:sortOrder2 0.9416 0.4687 1521.0000 2.01 0.04470 *
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals.:sortOrder2 1.4240 0.4687 1521.0000 3.04 0.00242 **
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals.:sortOrder2 2.5673 0.4687 1521.0000 5.48 0.0000000503192 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## fit warnings:
## fixed-effect model matrix is rank deficient so dropping 8 columns / coefficients
All Three graphs together so it is easier to visualize differences
Part. gender as a control
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ targ_gend_f * deiexpert_f + part_gend_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7412
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8397 -0.5740 0.0341 0.6259 2.4741
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.482 0.694
## Residual 1.810 1.345
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.1992 0.1053 874.8778 49.38 < 0.0000000000000002 ***
## targ_gend_fWoman Target -0.5000 0.1057 1533.0000 -4.73 0.000002442987300 ***
## deiexpert_fNo one has DEI Quals. -0.6006 0.1298 1037.2897 -4.63 0.000004156025719 ***
## deiexpert_fWoman Has DEI Quals. -1.1361 0.1273 1037.5812 -8.93 < 0.0000000000000002 ***
## part_gend_fMale Participants -0.1292 0.0875 508.0000 -1.48 0.14
## targ_gend_fWoman Target:deiexpert_fNo one has DEI Quals. 1.1131 0.1481 1533.0000 7.51 0.000000000000097 ***
## targ_gend_fWoman Target:deiexpert_fWoman Has DEI Quals. 1.6484 0.1453 1533.0000 11.34 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) tr__WT d_ohDQ d_WHDQ pr__MP tTohDQ
## trg_gnd_fWT -0.502
## dx_NohDEIQ. -0.610 0.407
## dxp_WHDEIQ. -0.625 0.415 0.519
## prt_gnd_fMP -0.477 0.000 -0.034 -0.028
## t__WT:_ohDQ 0.358 -0.714 -0.571 -0.296 0.000
## t__WT:_WHDQ 0.365 -0.727 -0.296 -0.571 0.000 0.519## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ targ_gend_f * deiexpert_f + part_gend_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7672
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.0078 -0.5209 0.0466 0.6087 2.5450
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.876 0.936
## Residual 1.898 1.378
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.242 0.122 771.444 42.93 < 0.0000000000000002 ***
## targ_gend_fWoman Target -0.318 0.108 1533.000 -2.94 0.0034 **
## deiexpert_fNo one has DEI Quals. -0.619 0.149 890.563 -4.16 0.000035460762448 ***
## deiexpert_fWoman Has DEI Quals. -1.118 0.146 890.780 -7.66 0.000000000000049 ***
## part_gend_fMale Participants -0.127 0.105 508.000 -1.20 0.2294
## targ_gend_fWoman Target:deiexpert_fNo one has DEI Quals. 1.055 0.152 1533.000 6.95 0.000000000005340 ***
## targ_gend_fWoman Target:deiexpert_fWoman Has DEI Quals. 1.679 0.149 1533.000 11.28 < 0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) tr__WT d_ohDQ d_WHDQ pr__MP tTohDQ
## trg_gnd_fWT -0.443
## dx_NohDEIQ. -0.602 0.364
## dxp_WHDEIQ. -0.617 0.371 0.519
## prt_gnd_fMP -0.494 0.000 -0.036 -0.030
## t__WT:_ohDQ 0.316 -0.714 -0.510 -0.265 0.000
## t__WT:_WHDQ 0.322 -0.727 -0.264 -0.510 0.000 0.519## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank ~ targ_gend_f * deiexpert_f + part_gend_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6163
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.809 -0.905 0.000 0.905 1.809
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.18 1.08
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.586419753086416584 0.066490702063280616 2040.999999990141759554 38.90 < 0.0000000000000002 ***
## targ_gend_fWoman Target -0.172839506172836471 0.085178226376689176 2040.999999994098061507 -2.03 0.043 *
## deiexpert_fNo one has DEI Quals. -0.044753086419750530 0.084451251978879344 2040.999999992913899405 -0.53 0.596
## deiexpert_fWoman Has DEI Quals. 0.375118708452044369 0.082829909530788073 2040.999999986772309057 4.53 0.00000627472 ***
## part_gend_fMale Participants 0.000000000000000927 0.049064121112677765 2040.999999996511633071 0.00 1.000
## targ_gend_fWoman Target:deiexpert_fNo one has DEI Quals. 0.089506172839503115 0.119379820572424231 2040.999999994553263605 0.75 0.453
## targ_gend_fWoman Target:deiexpert_fWoman Has DEI Quals. -0.750237416904086740 0.117104105218564805 2040.999999987468981999 -6.41 0.00000000018 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) tr__WT d_ohDQ d_WHDQ pr__MP tTohDQ
## trg_gnd_fWT -0.641
## dx_NohDEIQ. -0.634 0.504
## dxp_WHDEIQ. -0.648 0.514 0.519
## prt_gnd_fMP -0.424 0.000 -0.030 -0.024
## t__WT:_ohDQ 0.457 -0.714 -0.707 -0.367 0.000
## t__WT:_WHDQ 0.466 -0.727 -0.367 -0.707 0.000 0.519
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')Part. gender as a moderator
Each candidate individually
VQ
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ pers_simplified * part_gend_f * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7163
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.535 -0.541 0.040 0.605 2.627
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.554 0.744
## Residual 1.530 1.237
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 6.058 0.174 1670.023 34.86 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -1.877 0.211 1518.000 -8.91 < 0.0000000000000002 ***
## pers_simplifiedW1(MC) -1.406 0.211 1518.000 -6.68 0.000000000034240 ***
## pers_simplifiedW2(LM) -1.428 0.211 1518.000 -6.78 0.000000000017195 ***
## part_gend_fMale Participants -0.332 0.229 1670.023 -1.45 0.148
## deiexpert_fNo one has DEI Quals. -1.510 0.252 1670.023 -6.00 0.000000002344784 ***
## deiexpert_fWoman Has DEI Quals. -1.872 0.245 1670.023 -7.65 0.000000000000035 ***
## pers_simplifiedM2(JA):part_gend_fMale Participants 0.683 0.278 1518.000 2.46 0.014 *
## pers_simplifiedW1(MC):part_gend_fMale Participants 0.347 0.278 1518.000 1.25 0.212
## pers_simplifiedW2(LM):part_gend_fMale Participants 0.261 0.278 1518.000 0.94 0.348
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.877 0.305 1518.000 6.16 0.000000000942609 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.977 0.305 1518.000 6.49 0.000000000118000 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 2.285 0.305 1518.000 7.50 0.000000000000111 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.827 0.297 1518.000 6.16 0.000000000948272 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.506 0.297 1518.000 5.07 0.000000435489166 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 3.456 0.297 1518.000 11.65 < 0.0000000000000002 ***
## part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. 0.194 0.325 1670.023 0.60 0.550
## part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.135 0.318 1670.023 -0.42 0.671
## pers_simplifiedM2(JA):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.502 0.394 1518.000 -1.28 0.202
## pers_simplifiedW1(MC):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.204 0.394 1518.000 -0.52 0.605
## pers_simplifiedW2(LM):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.547 0.394 1518.000 -1.39 0.165
## pers_simplifiedM2(JA):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.325 0.385 1518.000 -0.84 0.398
## pers_simplifiedW1(MC):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. 0.156 0.385 1518.000 0.41 0.685
## pers_simplifiedW2(LM):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.214 0.385 1518.000 -0.55 0.579
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
VS
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ pers_simplified * part_gend_f * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7518
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.210 -0.527 0.078 0.604 2.664
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.918 0.958
## Residual 1.712 1.309
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.986 0.195 1482.092 30.65 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) -1.797 0.223 1518.000 -8.07 0.0000000000000015 ***
## pers_simplifiedW1(MC) -1.094 0.223 1518.000 -4.91 0.0000010005881465 ***
## pers_simplifiedW2(LM) -1.362 0.223 1518.000 -6.12 0.0000000012242688 ***
## part_gend_fMale Participants -0.254 0.258 1482.092 -0.99 0.3239
## deiexpert_fNo one has DEI Quals. -1.239 0.283 1482.092 -4.39 0.0000123873577954 ***
## deiexpert_fWoman Has DEI Quals. -1.728 0.275 1482.092 -6.28 0.0000000004391783 ***
## pers_simplifiedM2(JA):part_gend_fMale Participants 0.797 0.294 1518.000 2.71 0.0068 **
## pers_simplifiedW1(MC):part_gend_fMale Participants 0.487 0.294 1518.000 1.66 0.0981 .
## pers_simplifiedW2(LM):part_gend_fMale Participants 0.352 0.294 1518.000 1.20 0.2320
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. 1.670 0.322 1518.000 5.18 0.0000002527098025 ***
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 1.697 0.322 1518.000 5.26 0.0000001613756706 ***
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. 2.124 0.322 1518.000 6.59 0.0000000000615258 ***
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. 1.811 0.314 1518.000 5.77 0.0000000095854009 ***
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 1.723 0.314 1518.000 5.49 0.0000000476089901 ***
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 3.319 0.314 1518.000 10.57 < 0.0000000000000002 ***
## part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.149 0.365 1482.092 -0.41 0.6835
## part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.235 0.357 1482.092 -0.66 0.5106
## pers_simplifiedM2(JA):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.432 0.416 1518.000 -1.04 0.2997
## pers_simplifiedW1(MC):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.142 0.416 1518.000 -0.34 0.7327
## pers_simplifiedW2(LM):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.361 0.416 1518.000 -0.87 0.3860
## pers_simplifiedM2(JA):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.526 0.407 1518.000 -1.29 0.1971
## pers_simplifiedW1(MC):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.120 0.407 1518.000 -0.29 0.7689
## pers_simplifiedW2(LM):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.202 0.407 1518.000 -0.49 0.6208
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Ranking
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank_r ~ pers_simplified * part_gend_f * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6033
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.5259 -0.8875 0.0683 0.6474 1.9798
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.09 1.05
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.34783 0.12596 2024.00000 18.64 < 0.0000000000000002 ***
## pers_simplifiedM2(JA) 0.18841 0.17813 2024.00000 1.06 0.2903
## pers_simplifiedW1(MC) -0.11594 0.17813 2024.00000 -0.65 0.5152
## pers_simplifiedW2(LM) 0.53623 0.17813 2024.00000 3.01 0.0026 **
## part_gend_fMale Participants -0.02525 0.16624 2024.00000 -0.15 0.8793
## deiexpert_fNo one has DEI Quals. 0.06487 0.18232 2024.00000 0.36 0.7220
## deiexpert_fWoman Has DEI Quals. -0.30497 0.17749 2024.00000 -1.72 0.0859 .
## pers_simplifiedM2(JA):part_gend_fMale Participants -0.04862 0.23510 2024.00000 -0.21 0.8362
## pers_simplifiedW1(MC):part_gend_fMale Participants 0.12669 0.23510 2024.00000 0.54 0.5900
## pers_simplifiedW2(LM):part_gend_fMale Participants 0.02291 0.23510 2024.00000 0.10 0.9224
## pers_simplifiedM2(JA):deiexpert_fNo one has DEI Quals. -0.26777 0.25784 2024.00000 -1.04 0.2992
## pers_simplifiedW1(MC):deiexpert_fNo one has DEI Quals. 0.33816 0.25784 2024.00000 1.31 0.1898
## pers_simplifiedW2(LM):deiexpert_fNo one has DEI Quals. -0.32988 0.25784 2024.00000 -1.28 0.2009
## pers_simplifiedM2(JA):deiexpert_fWoman Has DEI Quals. -0.30269 0.25102 2024.00000 -1.21 0.2280
## pers_simplifiedW1(MC):deiexpert_fWoman Has DEI Quals. 0.45880 0.25102 2024.00000 1.83 0.0677 .
## pers_simplifiedW2(LM):deiexpert_fWoman Has DEI Quals. 1.06377 0.25102 2024.00000 4.24 0.000024 ***
## part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. 0.24112 0.23546 2024.00000 1.02 0.3059
## part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.00868 0.23033 2024.00000 -0.04 0.9699
## pers_simplifiedM2(JA):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.11011 0.33298 2024.00000 -0.33 0.7409
## pers_simplifiedW1(MC):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.36796 0.33298 2024.00000 -1.11 0.2693
## pers_simplifiedW2(LM):part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.48640 0.33298 2024.00000 -1.46 0.1442
## pers_simplifiedM2(JA):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. 0.28791 0.32573 2024.00000 0.88 0.3769
## pers_simplifiedW1(MC):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.16598 0.32573 2024.00000 -0.51 0.6104
## pers_simplifiedW2(LM):part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.08719 0.32573 2024.00000 -0.27 0.7890
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')
Combined men and women
VQ
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vq ~ targ_gend_f * part_gend_f * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7417
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8360 -0.5893 0.0414 0.6451 2.5014
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.483 0.695
## Residual 1.812 1.346
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.11957 0.14189 1034.16276 36.08 < 0.0000000000000002 ***
## targ_gend_fWoman Target -0.47826 0.16206 1530.00000 -2.95 0.0032 **
## part_gend_fMale Participants 0.00947 0.18727 1034.16276 0.05 0.9597
## deiexpert_fNo one has DEI Quals. -0.57195 0.20539 1034.16276 -2.78 0.0055 **
## deiexpert_fWoman Has DEI Quals. -0.95885 0.19995 1034.16276 -4.80 0.0000018610470 ***
## targ_gend_fWoman Target:part_gend_fMale Participants -0.03787 0.21389 1530.00000 -0.18 0.8595
## targ_gend_fWoman Target:deiexpert_fNo one has DEI Quals. 1.19255 0.23459 1530.00000 5.08 0.0000004158819 ***
## targ_gend_fWoman Target:deiexpert_fWoman Has DEI Quals. 1.56755 0.22837 1530.00000 6.86 0.0000000000097 ***
## part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.05709 0.26524 1034.16276 -0.22 0.8296
## part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.29741 0.25946 1034.16276 -1.15 0.2520
## targ_gend_fWoman Target:part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.12404 0.30295 1530.00000 -0.41 0.6823
## targ_gend_fWoman Target:part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. 0.13385 0.29635 1530.00000 0.45 0.6516
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) tr__WT pr__MP d_ohDQ d_WHDQ t__WTP tTohDQ t_THDQ pPohDQ p_PHDQ tTPohDQ
## trg_gnd_fWT -0.571
## prt_gnd_fMP -0.758 0.433
## dx_NohDEIQ. -0.691 0.395 0.523
## dxp_WHDEIQ. -0.710 0.405 0.538 0.490
## tr__WT:__MP 0.433 -0.758 -0.571 -0.299 -0.307
## t__WT:_ohDQ 0.395 -0.691 -0.299 -0.571 -0.280 0.523
## t__WT:_WHDQ 0.405 -0.710 -0.307 -0.280 -0.571 0.538 0.490
## p__MP:_ohDQ 0.535 -0.305 -0.706 -0.774 -0.380 0.403 0.442 0.217
## p__MP:_WHDQ 0.547 -0.312 -0.722 -0.378 -0.771 0.412 0.216 0.440 0.510
## t__WT:PohDQ -0.305 0.535 0.403 0.442 0.217 -0.706 -0.774 -0.380 -0.571 -0.291
## t__WT:_PHDQ -0.312 0.547 0.412 0.216 0.440 -0.722 -0.378 -0.771 -0.291 -0.571 0.510
VS
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: vs ~ targ_gend_f * part_gend_f * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 7674
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.0327 -0.5295 0.0532 0.6045 2.5290
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.871 0.933
## Residual 1.901 1.379
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.0870 0.1625 889.6509 31.31 < 0.0000000000000002 ***
## targ_gend_fWoman Target -0.3297 0.1660 1530.0000 -1.99 0.04718 *
## part_gend_fMale Participants 0.1442 0.2145 889.6509 0.67 0.50142
## deiexpert_fNo one has DEI Quals. -0.4044 0.2352 889.6509 -1.72 0.08588 .
## deiexpert_fWoman Has DEI Quals. -0.8227 0.2290 889.6509 -3.59 0.00034 ***
## targ_gend_fWoman Target:part_gend_fMale Participants 0.0206 0.2191 1530.0000 0.09 0.92521
## targ_gend_fWoman Target:deiexpert_fNo one has DEI Quals. 1.0757 0.2403 1530.0000 4.48 0.0000081273741 ***
## targ_gend_fWoman Target:deiexpert_fWoman Has DEI Quals. 1.6154 0.2339 1530.0000 6.91 0.0000000000073 ***
## part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.3649 0.3037 889.6509 -1.20 0.22998
## part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.4978 0.2971 889.6509 -1.68 0.09421 .
## targ_gend_fWoman Target:part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.0356 0.3103 1530.0000 -0.11 0.90855
## targ_gend_fWoman Target:part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. 0.1022 0.3035 1530.0000 0.34 0.73640
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) tr__WT pr__MP d_ohDQ d_WHDQ t__WTP tTohDQ t_THDQ pPohDQ p_PHDQ tTPohDQ
## trg_gnd_fWT -0.511
## prt_gnd_fMP -0.758 0.387
## dx_NohDEIQ. -0.691 0.353 0.523
## dxp_WHDEIQ. -0.710 0.362 0.538 0.490
## tr__WT:__MP 0.387 -0.758 -0.511 -0.267 -0.275
## t__WT:_ohDQ 0.353 -0.691 -0.267 -0.511 -0.250 0.523
## t__WT:_WHDQ 0.362 -0.710 -0.275 -0.250 -0.511 0.538 0.490
## p__MP:_ohDQ 0.535 -0.273 -0.706 -0.774 -0.380 0.361 0.396 0.194
## p__MP:_WHDQ 0.547 -0.279 -0.722 -0.378 -0.771 0.369 0.193 0.394 0.510
## t__WT:PohDQ -0.273 0.535 0.361 0.396 0.194 -0.706 -0.774 -0.380 -0.511 -0.260
## t__WT:_PHDQ -0.279 0.547 0.369 0.193 0.394 -0.722 -0.378 -0.771 -0.260 -0.511 0.510
Ranking
## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: rank ~ targ_gend_f * part_gend_f * deiexpert_f + (1 | pid)
## Data: qual_clean_long
##
## REML criterion at convergence: 6169
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.8575 -0.9090 -0.0132 0.9090 1.8575
##
## Random effects:
## Groups Name Variance Std.Dev.
## pid (Intercept) 0.00 0.00
## Residual 1.18 1.08
## Number of obs: 2048, groups: pid, 512
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 2.5580 0.0923 2036.0000 27.71 < 0.0000000000000002 ***
## targ_gend_fWoman Target -0.1159 0.1306 2036.0000 -0.89 0.37459
## part_gend_fMale Participants 0.0496 0.1218 2036.0000 0.41 0.68424
## deiexpert_fNo one has DEI Quals. 0.0690 0.1336 2036.0000 0.52 0.60558
## deiexpert_fWoman Has DEI Quals. 0.4563 0.1301 2036.0000 3.51 0.00046 ***
## targ_gend_fWoman Target:part_gend_fMale Participants -0.0991 0.1723 2036.0000 -0.58 0.56521
## targ_gend_fWoman Target:deiexpert_fNo one has DEI Quals. -0.1380 0.1890 2036.0000 -0.73 0.46522
## targ_gend_fWoman Target:deiexpert_fWoman Has DEI Quals. -0.9126 0.1840 2036.0000 -4.96 0.00000076 ***
## part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. -0.1861 0.1726 2036.0000 -1.08 0.28105
## part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. -0.1353 0.1688 2036.0000 -0.80 0.42302
## targ_gend_fWoman Target:part_gend_fMale Participants:deiexpert_fNo one has DEI Quals. 0.3721 0.2440 2036.0000 1.52 0.12745
## targ_gend_fWoman Target:part_gend_fMale Participants:deiexpert_fWoman Has DEI Quals. 0.2705 0.2387 2036.0000 1.13 0.25723
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) tr__WT pr__MP d_ohDQ d_WHDQ t__WTP tTohDQ t_THDQ pPohDQ p_PHDQ tTPohDQ
## trg_gnd_fWT -0.707
## prt_gnd_fMP -0.758 0.536
## dx_NohDEIQ. -0.691 0.489 0.523
## dxp_WHDEIQ. -0.710 0.502 0.538 0.490
## tr__WT:__MP 0.536 -0.758 -0.707 -0.370 -0.380
## t__WT:_ohDQ 0.489 -0.691 -0.370 -0.707 -0.347 0.523
## t__WT:_WHDQ 0.502 -0.710 -0.380 -0.347 -0.707 0.538 0.490
## p__MP:_ohDQ 0.535 -0.378 -0.706 -0.774 -0.380 0.499 0.548 0.268
## p__MP:_WHDQ 0.547 -0.387 -0.722 -0.378 -0.771 0.510 0.267 0.545 0.510
## t__WT:PohDQ -0.378 0.535 0.499 0.548 0.268 -0.706 -0.774 -0.380 -0.707 -0.360
## t__WT:_PHDQ -0.387 0.547 0.510 0.267 0.545 -0.722 -0.378 -0.771 -0.360 -0.707 0.510
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')## [[1]]
##
## [[2]]
##
## [[3]]
##
## [[4]]
Rank woman as #1
Here, I compare whether participants ranked a woman as N# 1 (regardless of condition)
##
## Call:
## lm(formula = rank_wom ~ deiexpert, data = qual_clean)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.847 -0.356 0.153 0.526 0.644
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.3558 0.0352 10.1 <0.0000000000000002 ***
## deiexpertnone 0.1179 0.0492 2.4 0.017 *
## deiexpertwoman 0.4912 0.0484 10.2 <0.0000000000000002 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.449 on 514 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.179
## F-statistic: 57.3 on 2 and 514 DF, p-value: <0.0000000000000002