Field Study - Fall 24

Analysis

Items

R Name Text                                         
voice1 Proactively give suggestions for issues that may influence the team
voice2 Proactively voice constructive suggestions which are beneficial to my team
voice3 Advise against undesirable behaviors that would hamper the team’s job performance
voice4 Speak up honestly about problems that might cause serious loss to the work team, even when/though dissenting opinions exist
silent1 Keep ideas about how to improve work methods or practices to myself
silent2 Choose not to speak up with ideas for new or more effective work methods

Results

IV CIS 3 Voice Item Proactiv. Construct. Advise Speak Up Self-Censor Choose
Mutability Y-P N. N. N. N. N. N. N.
Status Y-P N. Y-P Y-P Y-P Y-P N. Y-N.

IV: Mutability

CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: cis ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 690.5
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4561 -0.6008  0.0936  0.7211  2.1719 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.02761  0.1662  
##  Residual             1.27441  1.1289  
## Number of obs: 221, groups:  USCID, 157
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   4.21084    0.27276 207.37963  15.438  < 2e-16 ***
## mut           0.28686    0.06035 211.10394   4.753  3.7e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.959

Three-voice items

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 441.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6856 -0.4521  0.1168  0.4506  2.3591 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0305   1.0152  
##  Residual             0.5517   0.7428  
## Number of obs: 142, groups:  USCID, 88
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.93392    0.36229 134.83056  16.379   <2e-16 ***
## mut          -0.04826    0.07833 125.86325  -0.616    0.539    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.937

Proactively give suggestions

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 672
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3974 -0.6491 -0.0431  0.6132  1.8069 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3649   0.604   
##  Residual             1.0683   1.034   
## Number of obs: 210, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   4.56977    0.30248 205.62434  15.108   <2e-16 ***
## mut           0.11999    0.06623 207.23449   1.812   0.0715 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.957

Constructive suggestions

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 660.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.9784 -0.6870 -0.0680  0.6307  1.8032 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3256   0.5706  
##  Residual             1.0267   1.0133  
## Number of obs: 210, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   4.70681    0.29394 205.05434  16.013   <2e-16 ***
## mut           0.09803    0.06438 206.92065   1.523    0.129    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.957

Advise against undesirable

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 748.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.7157 -0.5465  0.1231  0.8165  1.8067 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             2.028    1.424   
## Number of obs: 210, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   4.30906    0.35656 208.00000  12.085   <2e-16 ***
## mut           0.10143    0.07842 208.00000   1.293    0.197    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.961
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Speak up honestly

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 724.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.1234 -0.6576  0.0049  0.6526  1.8426 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.04555  0.2134  
##  Residual             1.75968  1.3265  
## Number of obs: 210, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   4.25211    0.33724 197.69525  12.608   <2e-16 ***
## mut           0.17789    0.07415 200.49875   2.399   0.0173 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.961

Self-censor

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 863.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4109 -0.7192 -0.1509  0.8371  2.0614 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.4244   0.6514  
##  Residual             3.1106   1.7637  
## Number of obs: 210, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   2.98437    0.47477 201.05449   6.286 1.99e-09 ***
## mut           0.06814    0.10423 203.69036   0.654    0.514    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.959

Choose not to speak up

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ mut + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 782.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.2923 -0.7903 -0.2943  0.4081  2.7104 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3709   0.609   
##  Residual             2.0402   1.428   
## Number of obs: 210, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   2.40212    0.39252 201.62817   6.120  4.8e-09 ***
## mut           0.03597    0.08612 204.38105   0.418    0.677    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##     (Intr)
## mut -0.959

IV: Status

CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: cis ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 633.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.8815 -0.4835  0.0877  0.6565  1.9366 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.0404   0.201   
##  Residual             1.1615   1.078   
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   2.97901    0.38482 205.85903   7.741 4.36e-13 ***
## status        0.46983    0.07093 205.99511   6.624 2.98e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.980

Three-voice items

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 430.5
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.57754 -0.44422  0.09324  0.43376  2.26544 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0586   1.0289  
##  Residual             0.5704   0.7552  
## Number of obs: 137, groups:  USCID, 85
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)  5.746206   0.451940 92.339182  12.715   <2e-16 ***
## status      -0.004538   0.082544 81.532511  -0.055    0.956    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.958

Proactively give suggestions

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 651.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9179 -0.5140  0.0747  0.5788  1.8681 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2446   0.4946  
##  Residual             1.0644   1.0317  
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   3.28999    0.39838 205.72053   8.258 1.78e-14 ***
## status        0.34036    0.07331 204.44277   4.643 6.14e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.978

Constructive suggestions

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 633.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.6061 -0.5311  0.1368  0.5897  1.9443 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2559   0.5059  
##  Residual             0.9456   0.9724  
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   3.18000    0.38067 204.94890   8.354 9.91e-15 ***
## status        0.36906    0.07002 203.25819   5.271 3.46e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.978

Advise against undesirable

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 731.6
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.15614 -0.63848  0.00012  0.72470  2.73897 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.00    
##  Residual             1.905    1.38    
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   2.86394    0.48403 207.00000   5.917 1.34e-08 ***
## status        0.35598    0.08928 207.00000   3.987 9.27e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.980
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Speak up honestly

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 706.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.6039 -0.5249  0.0675  0.6398  2.7919 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.688    1.299   
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   2.98804    0.45564 207.00000   6.558 4.28e-10 ***
## status        0.38485    0.08404 207.00000   4.579 8.05e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.980
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Self-censor

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 858.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.3304 -0.7251 -0.2296  0.7731  2.0888 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3956   0.629   
##  Residual             3.1376   1.771   
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)   4.0033     0.6580 206.7771   6.084  5.6e-09 ***
## status       -0.1363     0.1212 206.1535  -1.125    0.262    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.979

Choose not to speak up

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 773.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4240 -0.7383 -0.2812  0.5173  2.8838 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3086   0.5556  
##  Residual             2.0385   1.4277  
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   3.58387    0.53573 206.53171   6.690 2.06e-10 ***
## status       -0.19520    0.09866 205.64763  -1.979   0.0492 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.979

DV: Mutability :

IV: Status

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: mut ~ status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 686.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.2329 -0.4147  0.1035  0.5353  1.9029 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.6367   0.7979  
##  Residual             0.9519   0.9756  
## Number of obs: 210, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   3.16849    0.42031 193.50230   7.538 1.79e-12 ***
## status        0.22298    0.07711 187.89854   2.892  0.00428 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##        (Intr)
## status -0.974

IV: Ratee Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: mut ~ gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 673.9
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.06059 -0.42607  0.04514  0.53374  1.70084 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.6894   0.8303  
##  Residual             0.9529   0.9761  
## Number of obs: 205, groups:  USCID, 143
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)   4.2687     0.1252 177.5415   34.10   <2e-16 ***
## genderMale    0.1980     0.1767 199.5857    1.12    0.264    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr)
## genderMale -0.614

IV: Rater Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: mut ~ s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 416
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.1130 -0.5399  0.1100  0.5648  1.7296 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.5568   0.7462  
##  Residual             0.9154   0.9568  
## Number of obs: 131, groups:  USCID, 80
## 
## Fixed effects:
##                Estimate Std. Error      df t value Pr(>|t|)    
## (Intercept)      4.4975     0.1840 75.7837  24.440   <2e-16 ***
## s_s_genderMale  -0.2461     0.2421 75.1163  -1.017    0.312    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr)
## s_s_gendrMl -0.760

Interactions

DV Status_Mut Mut_CIS Mut_RG Mut_SG S_CIS S_RG M_SG
Voice X X X X X X X
Voice1 X [Y] [Y] X [Y] X X
Voice2 X [Y] X X X X X
Voice3 X X [Y] X X X X
Voice4 X [Y] [Y] X X X X
Silent1 X X X X X X X
Silent2 X X X X X X X

DV: Voice

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 435.5
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.7278 -0.3394  0.1252  0.4492  2.3619 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0572   1.0282  
##  Residual             0.5725   0.7566  
## Number of obs: 137, groups:  USCID, 85
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)   
## (Intercept)  4.21253    1.58089 90.22174   2.665  0.00913 **
## mut          0.32941    0.34696 87.00498   0.949  0.34504   
## status       0.33422    0.29573 89.96858   1.130  0.26142   
## mut:status  -0.07299    0.06351 85.92760  -1.149  0.25359   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.956              
## status     -0.971  0.916       
## mut:status  0.944 -0.971 -0.958

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 444.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6379 -0.4283  0.1383  0.4718  2.2951 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0123   1.0061  
##  Residual             0.5832   0.7636  
## Number of obs: 140, groups:  USCID, 88
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.54604    1.22344 115.32402   4.533 1.43e-05 ***
## mut           0.08931    0.29554 109.06022   0.302    0.763    
## cis           0.07961    0.22891 106.69849   0.348    0.729    
## mut:cis      -0.02655    0.05358 103.66646  -0.495    0.621    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.935              
## cis     -0.951  0.882       
## mut:cis  0.910 -0.960 -0.941

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 430.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6204 -0.4210  0.1164  0.4871  2.3524 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.1057   1.0515  
##  Residual             0.5618   0.7495  
## Number of obs: 136, groups:  USCID, 84
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)      5.80799    0.44414 130.35319  13.077   <2e-16 ***
## mut             -0.03639    0.09825 124.15836  -0.370    0.712    
## genderMale       0.49643    0.72831  94.68057   0.682    0.497    
## mut:genderMale  -0.07591    0.15743  90.58956  -0.482    0.631    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.934              
## genderMale  -0.545  0.527       
## mut:gendrMl  0.528 -0.565 -0.964

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 409.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6536 -0.3913  0.1386  0.4552  2.1089 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.9997   0.9998  
##  Residual             0.5805   0.7619  
## Number of obs: 131, groups:  USCID, 80
## 
## Fixed effects:
##                    Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)          5.3767     0.7161 124.2979   7.508 1.01e-11 ***
## mut                  0.1034     0.1531 121.1321   0.676    0.500    
## s_s_genderMale       0.9734     0.8476 123.9070   1.148    0.253    
## mut:s_s_genderMale  -0.2470     0.1820 118.9293  -1.357    0.177    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.959              
## s_s_gendrMl -0.845  0.811       
## mt:s_s_gndM  0.807 -0.841 -0.949

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 432.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.5249 -0.3816  0.1469  0.4686  2.1555 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0140   1.0070  
##  Residual             0.6128   0.7828  
## Number of obs: 135, groups:  USCID, 85
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)  
## (Intercept)  4.55663    2.10484 91.14913   2.165    0.033 *
## status       0.28898    0.40662 94.10146   0.711    0.479  
## cis          0.20747    0.38874 87.68594   0.534    0.595  
## status:cis  -0.05113    0.07350 91.23998  -0.696    0.488  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.976              
## cis        -0.973  0.941       
## status:cis  0.963 -0.975 -0.977

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 430.4
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6014 -0.4115  0.1191  0.4375  2.3344 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0979   1.0478  
##  Residual             0.5713   0.7558  
## Number of obs: 136, groups:  USCID, 84
## 
## Fixed effects:
##                    Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         5.48471    0.75343 115.28739   7.280 4.42e-11 ***
## status              0.03203    0.13752 110.10931   0.233    0.816    
## genderMale          0.40747    1.00716 107.80431   0.405    0.687    
## status:genderMale  -0.04940    0.18633 103.97566  -0.265    0.791    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.978              
## genderMale  -0.795  0.796       
## stts:gndrMl  0.767 -0.790 -0.981

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 404.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.6215 -0.3964  0.1103  0.4181  2.1094 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 1.0213   1.0106  
##  Residual             0.6118   0.7821  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                       Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)            5.99286    0.78789 89.27832   7.606 2.73e-11 ***
## status                -0.03037    0.14560 81.87420  -0.209    0.835    
## s_s_genderMale        -0.38935    0.98940 87.91718  -0.394    0.695    
## status:s_s_genderMale  0.05503    0.18113 78.91798   0.304    0.762    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.964              
## s_s_gendrMl -0.796  0.768       
## stts:s_s_gM  0.775 -0.804 -0.961

DV: Voice1

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 657.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.9994 -0.5334  0.0772  0.5861  1.8845 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2446   0.4946  
##  Residual             1.0653   1.0322  
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)   
## (Intercept)   4.13192    1.48540 203.80126   2.782  0.00592 **
## mut          -0.17911    0.33583 200.28373  -0.533  0.59439   
## status        0.12533    0.27302 204.32810   0.459  0.64669   
## mut:status    0.04622    0.06059 201.08778   0.763  0.44645   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.962              
## status     -0.980  0.935       
## mut:status  0.953 -0.981 -0.962

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 628.5
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.65978 -0.55072 -0.03577  0.58236  2.58851 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2012   0.4485  
##  Residual             0.9321   0.9654  
## Number of obs: 209, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   8.21547    1.00904 204.74584   8.142 3.76e-14 ***
## mut          -1.27054    0.24876 203.48689  -5.108 7.49e-07 ***
## cis          -0.60029    0.18341 204.59913  -3.273  0.00125 ** 
## mut:cis       0.23430    0.04349 203.72883   5.388 1.96e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.938              
## cis     -0.961  0.883       
## mut:cis  0.926 -0.969 -0.938

## JOHNSON-NEYMAN INTERVAL
## 
## When cis is OUTSIDE the interval [4.84, 5.97], the slope of mut is p < .05.
## 
## Note: The range of observed values of cis is [1.00, 7.00]
## 
## SIMPLE SLOPES ANALYSIS
## 
## Slope of mut when cis = 4.262075 (- 1 SD): 
## 
##    Est.   S.E.   t val.      p
## ------- ------ -------- ------
##   -0.27   0.08    -3.27   0.00
## 
## Slope of mut when cis = 5.468900 (Mean): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.01   0.06     0.17   0.86
## 
## Slope of mut when cis = 6.675725 (+ 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.29   0.08     3.71   0.00

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 650.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3202 -0.6782 -0.0062  0.6659  1.7504 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2569   0.5069  
##  Residual             1.1340   1.0649  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                  Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)      5.034404   0.375425 192.163240  13.410   <2e-16 ***
## mut             -0.005525   0.083794 196.662913  -0.066   0.9475    
## genderMale      -1.136074   0.622766 199.374488  -1.824   0.0696 .  
## mut:genderMale   0.293293   0.135240 197.363606   2.169   0.0313 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.953              
## genderMale  -0.593  0.566       
## mut:gendrMl  0.580 -0.608 -0.963

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 399.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.3479 -0.7033 -0.0257  0.6658  1.8664 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2461   0.4961  
##  Residual             1.0568   1.0280  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                     Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)          5.04854    0.70377 113.31207   7.174 8.05e-11 ***
## mut                 -0.03147    0.15137 113.35616  -0.208    0.836    
## s_s_genderMale       0.38591    0.83709 115.70882   0.461    0.646    
## mut:s_s_genderMale  -0.04140    0.18227 117.12410  -0.227    0.821    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.971              
## s_s_gendrMl -0.841  0.817       
## mt:s_s_gndM  0.807 -0.830 -0.965

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 640
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2703 -0.5281  0.0405  0.5785  1.9833 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2089   0.457   
##  Residual             1.0116   1.006   
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.58852    1.54824 203.56758   3.610 0.000386 ***
## status       -0.36907    0.29993 203.57550  -1.231 0.219926    
## cis          -0.35426    0.29861 201.52367  -1.186 0.236879    
## status:cis    0.11486    0.05547 201.95031   2.071 0.039656 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.969              
## cis        -0.964  0.914       
## status:cis  0.959 -0.966 -0.972

## JOHNSON-NEYMAN INTERVAL
## 
## When cis is OUTSIDE the interval [-37.28, 4.65], the slope of status is p < .05.
## 
## Note: The range of observed values of cis is [1.00, 7.00]
## 
## SIMPLE SLOPES ANALYSIS
## 
## Slope of status when cis = 4.270562 (- 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.12   0.09     1.29   0.20
## 
## Slope of status when cis = 5.475962 (Mean): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.26   0.08     3.28   0.00
## 
## Slope of status when cis = 6.681361 (+ 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.40   0.11     3.55   0.00

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 635.5
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.8552 -0.5270  0.0622  0.6197  1.8900 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.1955   0.4421  
##  Residual             1.0937   1.0458  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                   Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)         3.2338     0.5992 196.7129   5.397 1.94e-07 ***
## status              0.3267     0.1089 197.5862   3.001  0.00303 ** 
## genderMale         -0.1106     0.8323 198.5393  -0.133  0.89438    
## status:genderMale   0.0695     0.1530 198.9805   0.454  0.65016    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.983              
## genderMale  -0.726  0.716       
## stts:gndrMl  0.705 -0.718 -0.981

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice1 ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 394.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.7555 -0.5605  0.0203  0.6063  1.8068 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2146   0.4633  
##  Residual             1.0373   1.0185  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                        Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)             3.65349    0.84095 118.82952   4.344 2.96e-05 ***
## status                  0.23862    0.15713 118.41273   1.519    0.132    
## s_s_genderMale          0.38261    1.05908 118.98416   0.361    0.719    
## status:s_s_genderMale  -0.03283    0.19704 117.61595  -0.167    0.868    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.981              
## s_s_gendrMl -0.794  0.779       
## stts:s_s_gM  0.782 -0.797 -0.980

DV: Voice2

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 638.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.8148 -0.5509  0.1755  0.5919  1.9027 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2387   0.4886  
##  Residual             0.9563   0.9779  
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.02739    1.41689 203.33997   3.548 0.000482 ***
## mut          -0.41983    0.32020 199.21256  -1.311 0.191317    
## status       -0.01225    0.26045 204.00158  -0.047 0.962537    
## mut:status    0.08588    0.05777 200.14835   1.487 0.138713    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.962              
## status     -0.980  0.935       
## mut:status  0.953 -0.981 -0.962

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 616.1
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.72352 -0.52929  0.03732  0.56899  2.22573 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2344   0.4842  
##  Residual             0.8376   0.9152  
## Number of obs: 209, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   8.21657    0.97811 204.29882   8.400 7.47e-15 ***
## mut          -1.24804    0.24090 202.39905  -5.181 5.33e-07 ***
## cis          -0.57896    0.17776 204.06112  -3.257  0.00132 ** 
## mut:cis       0.22717    0.04212 202.77217   5.393 1.92e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.938              
## cis     -0.961  0.883       
## mut:cis  0.925 -0.969 -0.938

## JOHNSON-NEYMAN INTERVAL
## 
## When cis is OUTSIDE the interval [4.93, 6.05], the slope of mut is p < .05.
## 
## Note: The range of observed values of cis is [1.00, 7.00]
## 
## SIMPLE SLOPES ANALYSIS
## 
## Slope of mut when cis = 4.262075 (- 1 SD): 
## 
##    Est.   S.E.   t val.      p
## ------- ------ -------- ------
##   -0.28   0.08    -3.47   0.00
## 
## Slope of mut when cis = 5.468900 (Mean): 
## 
##    Est.   S.E.   t val.      p
## ------- ------ -------- ------
##   -0.01   0.06    -0.09   0.92
## 
## Slope of mut when cis = 6.675725 (+ 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.27   0.08     3.50   0.00

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 645.3
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.92545 -0.76654 -0.05039  0.66976  1.84057 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2876   0.5363  
##  Residual             1.0713   1.0350  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)      4.96192    0.37127 192.75783  13.365   <2e-16 ***
## mut              0.02601    0.08280 197.20002   0.314    0.754    
## genderMale      -0.67756    0.61405 198.92088  -1.103    0.271    
## mut:genderMale   0.17555    0.13326 196.39405   1.317    0.189    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.953              
## genderMale  -0.593  0.566       
## mut:gendrMl  0.581 -0.608 -0.963

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 402.8
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.59800 -0.51051  0.01157  0.61685  1.76016 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3929   0.6268  
##  Residual             0.9709   0.9854  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                     Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)          5.24757    0.72253 116.54029   7.263 4.62e-11 ***
## mut                 -0.06886    0.15537 117.03320  -0.443    0.658    
## s_s_genderMale       0.41080    0.85769 118.61440   0.479    0.633    
## mut:s_s_genderMale  -0.03322    0.18647 120.21461  -0.178    0.859    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.970              
## s_s_gendrMl -0.842  0.817       
## mt:s_s_gndM  0.808 -0.833 -0.963

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 623.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.0408 -0.5399  0.1230  0.5806  1.9638 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2413   0.4913  
##  Residual             0.8915   0.9442  
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.27589    1.48622 202.72882   3.550 0.000479 ***
## status       -0.27337    0.28792 202.75418  -0.949 0.343510    
## cis          -0.32397    0.28631 199.64531  -1.132 0.259191    
## status:cis    0.10410    0.05319 200.31095   1.957 0.051744 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.969              
## cis        -0.964  0.914       
## status:cis  0.959 -0.966 -0.972

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 619
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.7191 -0.5098  0.1028  0.6105  1.8806 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.229    0.4786  
##  Residual             0.963    0.9813  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                   Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)         2.5628     0.5761 197.4675   4.448 1.44e-05 ***
## status              0.4625     0.1046 198.3129   4.420 1.62e-05 ***
## genderMale          0.7997     0.7996 199.3120   1.000    0.318    
## status:genderMale  -0.1119     0.1469 199.6103  -0.762    0.447    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.983              
## genderMale  -0.728  0.719       
## stts:gndrMl  0.706 -0.720 -0.981

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice2 ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 391.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2826 -0.4508  0.0533  0.6275  1.7104 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3482   0.5901  
##  Residual             0.8995   0.9484  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                        Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)             2.95230    0.81961 113.67022   3.602  0.00047 ***
## status                  0.37863    0.15303 112.37551   2.474  0.01485 *  
## s_s_genderMale          0.72886    1.03216 113.34608   0.706  0.48154    
## status:s_s_genderMale  -0.08696    0.19168 110.70176  -0.454  0.65096    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.979              
## s_s_gendrMl -0.794  0.777       
## stts:s_s_gM  0.781 -0.798 -0.977

DV: Voice3

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 736.4
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.08232 -0.64801 -0.00574  0.71866  2.46898 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.00    
##  Residual             1.906    1.38    
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)  
## (Intercept)   0.64202    1.80249 205.00000   0.356   0.7221  
## mut           0.53312    0.41004 205.00000   1.300   0.1950  
## status        0.72404    0.33082 205.00000   2.189   0.0298 *
## mut:status   -0.08799    0.07390 205.00000  -1.191   0.2352  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.962              
## status     -0.981  0.936       
## mut:status  0.953 -0.982 -0.962
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 742.9
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.02759 -0.47732  0.07843  0.72404  2.01371 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.00     0.0     
##  Residual             1.96     1.4     
## Number of obs: 209, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.57143    1.33304 205.00000   4.179 4.33e-05 ***
## mut          -0.51662    0.32987 205.00000  -1.566   0.1189    
## cis          -0.18725    0.24248 205.00000  -0.772   0.4409    
## mut:cis       0.10085    0.05764 205.00000   1.749   0.0817 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.938              
## cis     -0.962  0.883       
## mut:cis  0.927 -0.969 -0.937
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 716
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.63749 -0.48644  0.08285  0.64912  1.86847 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.907    1.381   
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)      4.95324    0.43378 200.00000  11.419   <2e-16 ***
## mut             -0.08890    0.09733 200.00000  -0.913   0.3622    
## genderMale      -1.43039    0.73358 200.00000  -1.950   0.0526 .  
## mut:genderMale   0.41596    0.16001 200.00000   2.600   0.0100 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.954              
## genderMale  -0.591  0.564       
## mut:gendrMl  0.580 -0.608 -0.964
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 441.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -2.8398 -0.6065  0.1376  0.8473  1.6570 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.789    1.337   
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                    Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)          2.9510     0.8036 124.0000   3.672 0.000356 ***
## mut                  0.3358     0.1728 124.0000   1.944 0.054179 .  
## s_s_genderMale       1.9332     0.9595 124.0000   2.015 0.046088 *  
## mut:s_s_genderMale  -0.3525     0.2093 124.0000  -1.684 0.094642 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.974              
## s_s_gendrMl -0.838  0.815       
## mt:s_s_gndM  0.804 -0.825 -0.968
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 733.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.0997 -0.6052  0.0582  0.7129  2.6302 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.909    1.382   
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)   1.93384    1.94339 204.00000   0.995    0.321
## status        0.42388    0.37649 204.00000   1.126    0.262
## cis           0.22408    0.37655 204.00000   0.595    0.552
## status:cis   -0.02241    0.06991 204.00000  -0.321    0.749
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.969              
## cis        -0.964  0.913       
## status:cis  0.959 -0.965 -0.972
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 708.4
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.06043 -0.58196  0.06405  0.63431  2.52674 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.842    1.357   
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                    Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         2.60725    0.71162 200.00000   3.664 0.000318 ***
## status              0.36376    0.12940 200.00000   2.811 0.005428 ** 
## genderMale          0.62740    0.99000 200.00000   0.634 0.526980    
## status:genderMale  -0.02768    0.18215 200.00000  -0.152 0.879365    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.984              
## genderMale  -0.719  0.707       
## stts:gndrMl  0.699 -0.710 -0.981
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice3 ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 439
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -3.07858 -0.58173  0.03266  0.74906  2.29094 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.766    1.329   
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                       Estimate Std. Error       df t value Pr(>|t|)  
## (Intercept)             2.5931     1.0185 124.0000   2.546   0.0121 *
## status                  0.3569     0.1903 124.0000   1.875   0.0632 .
## s_s_genderMale          1.1623     1.2815 124.0000   0.907   0.3662  
## status:s_s_genderMale  -0.1567     0.2388 124.0000  -0.656   0.5131  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.984              
## s_s_gendrMl -0.795  0.782       
## stts:s_s_gM  0.784 -0.797 -0.983
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

DV: Voice4

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 707.5
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.5695 -0.5270  0.1378  0.6330  2.3662 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.655    1.286   
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)   
## (Intercept)  -0.17754    1.67972 205.00000  -0.106   0.9159   
## mut           0.77130    0.38212 205.00000   2.018   0.0448 * 
## status        0.86696    0.30829 205.00000   2.812   0.0054 **
## mut:status   -0.11796    0.06887 205.00000  -1.713   0.0882 . 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.962              
## status     -0.981  0.936       
## mut:status  0.953 -0.982 -0.962
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 706.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.4866 -0.5115  0.0922  0.6656  2.1237 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.645    1.282   
## Number of obs: 209, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)   5.48730    1.22113 205.00000   4.494 1.17e-05 ***
## mut          -0.59316    0.30218 205.00000  -1.963   0.0510 .  
## cis          -0.15179    0.22212 205.00000  -0.683   0.4951    
## mut:cis       0.12165    0.05281 205.00000   2.304   0.0222 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.938              
## cis     -0.962  0.883       
## mut:cis  0.927 -0.969 -0.937
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

## JOHNSON-NEYMAN INTERVAL
## 
## When mut is INSIDE the interval [3.56, 19.76], the slope of cis is p < .05.
## 
## Note: The range of observed values of mut is [1.00, 7.00]
## 
## SIMPLE SLOPES ANALYSIS
## 
## Slope of cis when mut = 3.115986 (- 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.13   0.10     1.31   0.19
## 
## Slope of cis when mut = 4.374003 (Mean): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.25   0.09     2.88   0.00
## 
## Slope of cis when mut = 5.632020 (+ 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.38   0.13     2.95   0.00

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 699.2
## 
## Scaled residuals: 
##      Min       1Q   Median       3Q      Max 
## -2.99588 -0.68145  0.02997  0.73713  1.83539 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.07286  0.2699  
##  Residual             1.68205  1.2969  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)      4.85835    0.41798 186.37963  11.623   <2e-16 ***
## mut              0.02247    0.09368 192.10266   0.240   0.8107    
## genderMale      -1.42856    0.70388 199.90620  -2.030   0.0437 *  
## mut:genderMale   0.36108    0.15338 199.75695   2.354   0.0195 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.954              
## genderMale  -0.592  0.565       
## mut:gendrMl  0.580 -0.608 -0.964

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 435
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.2042 -0.4940  0.0256  0.6085  1.6920 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2008   0.4481  
##  Residual             1.5132   1.2301  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                    Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)          3.9842     0.8016 108.9254   4.970  2.5e-06 ***
## mut                  0.2364     0.1724 108.6280   1.371    0.173    
## s_s_genderMale       0.8380     0.9548 111.8587   0.878    0.382    
## mut:s_s_genderMale  -0.1677     0.2081 113.2702  -0.806    0.422    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.972              
## s_s_gendrMl -0.840  0.816       
## mt:s_s_gndM  0.806 -0.829 -0.966

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 701.3
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.6340 -0.5749  0.1470  0.6561  2.5241 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.634    1.278   
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)  
## (Intercept)   3.14443    1.79781 204.00000   1.749   0.0818 .
## status        0.09006    0.34829 204.00000   0.259   0.7962  
## cis           0.07399    0.34834 204.00000   0.212   0.8320  
## status:cis    0.03390    0.06467 204.00000   0.524   0.6007  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.969              
## cis        -0.964  0.913       
## status:cis  0.959 -0.965 -0.972
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 690.8
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.5208 -0.5401  0.0570  0.6290  2.6033 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.687    1.299   
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                    Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         2.85489    0.68105 200.00000   4.192 4.15e-05 ***
## status              0.38833    0.12384 200.00000   3.136  0.00197 ** 
## genderMale          0.40261    0.94748 200.00000   0.425  0.67134    
## status:genderMale  -0.02731    0.17433 200.00000  -0.157  0.87568    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.984              
## genderMale  -0.719  0.707       
## stts:gndrMl  0.699 -0.710 -0.981
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: voice4 ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 426.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -3.6960 -0.4594  0.0995  0.6064  2.8850 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.000    0.000   
##  Residual             1.598    1.264   
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                       Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)             3.6303     0.9689 124.0000   3.747 0.000273 ***
## status                  0.2709     0.1811 124.0000   1.496 0.137107    
## s_s_genderMale         -0.6870     1.2191 124.0000  -0.564 0.574081    
## status:s_s_genderMale   0.1384     0.2272 124.0000   0.609 0.543453    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.984              
## s_s_gendrMl -0.795  0.782       
## stts:s_s_gM  0.784 -0.797 -0.983
## optimizer (nloptwrap) convergence code: 0 (OK)
## boundary (singular) fit: see help('isSingular')

DV: Silent1

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 861.5
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4026 -0.7130 -0.2200  0.7727  2.5663 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.457    0.676   
##  Residual             3.070    1.752   
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##             Estimate Std. Error       df t value Pr(>|t|)   
## (Intercept)   6.9357     2.4478 204.7499   2.833  0.00507 **
## mut          -0.6651     0.5545 202.3041  -1.199  0.23175   
## status       -0.7529     0.4497 204.9503  -1.674  0.09560 . 
## mut:status    0.1386     0.1000 202.9081   1.386  0.16727   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.962              
## status     -0.980  0.935       
## mut:status  0.953 -0.982 -0.962

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 865
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.3891 -0.7188 -0.1575  0.8296  2.0530 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3988   0.6315  
##  Residual             3.1719   1.7810  
## Number of obs: 209, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)   1.90755    1.79741 204.99597   1.061    0.290
## mut           0.28485    0.44376 204.35683   0.642    0.522
## cis           0.21137    0.32679 204.95773   0.647    0.518
## mut:cis      -0.04191    0.07756 204.48852  -0.540    0.590
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.938              
## cis     -0.961  0.883       
## mut:cis  0.926 -0.969 -0.938

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 830.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.6191 -0.8492 -0.1349  0.6555  2.1177 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3555   0.5963  
##  Residual             3.0406   1.7437  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                 Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)      3.24564    0.58445 189.00938   5.553  9.4e-08 ***
## mut             -0.06731    0.13076 194.26943  -0.515    0.607    
## genderMale      -0.48678    0.97783 199.97221  -0.498    0.619    
## mut:genderMale   0.25248    0.21276 199.03060   1.187    0.237    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.953              
## genderMale  -0.592  0.565       
## mut:gendrMl  0.580 -0.608 -0.963

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 527.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4625 -0.7005 -0.1445  0.7007  2.0742 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.7914   0.8896  
##  Residual             2.8877   1.6993  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                     Estimate Std. Error        df t value Pr(>|t|)   
## (Intercept)          3.21708    1.18451 113.53900   2.716  0.00764 **
## mut                  0.06196    0.25477 113.70956   0.243  0.80828   
## s_s_genderMale      -0.05537    1.40816 115.99785  -0.039  0.96870   
## mut:s_s_genderMale  -0.05446    0.30651 117.56414  -0.178  0.85928   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.971              
## s_s_gendrMl -0.841  0.817       
## mt:s_s_gndM  0.807 -0.831 -0.964

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 858.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.3555 -0.7124 -0.2286  0.7435  2.1664 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3717   0.6097  
##  Residual             3.1766   1.7823  
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)  
## (Intercept)   4.69773    2.64897 203.99993   1.773   0.0777 .
## status       -0.41987    0.51317 203.99985  -0.818   0.4142  
## cis          -0.07351    0.51185 203.12404  -0.144   0.8859  
## status:cis    0.04116    0.09505 203.32390   0.433   0.6654  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.969              
## cis        -0.964  0.914       
## status:cis  0.959 -0.965 -0.972

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 829.9
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4699 -0.8127 -0.1963  0.7189  2.3302 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3505   0.592   
##  Residual             3.0426   1.744   
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                   Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)         4.1768     0.9713 195.5355   4.300 2.69e-05 ***
## status             -0.2251     0.1765 196.4482  -1.276    0.204    
## genderMale         -0.4782     1.3501 197.1902  -0.354    0.724    
## status:genderMale   0.2053     0.2483 197.8125   0.827    0.409    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.983              
## genderMale  -0.723  0.713       
## stts:gndrMl  0.703 -0.715 -0.981

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent1 ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 526.7
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4886 -0.7164 -0.1323  0.6844  2.0703 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.8341   0.9133  
##  Residual             2.8293   1.6820  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                       Estimate Std. Error       df t value Pr(>|t|)
## (Intercept)             2.2170     1.4224 116.3349   1.559    0.122
## status                  0.2440     0.2657 115.5213   0.918    0.360
## s_s_genderMale          1.2516     1.7914 116.2697   0.699    0.486
## status:s_s_genderMale  -0.2962     0.3330 114.2802  -0.890    0.376
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.980              
## s_s_gendrMl -0.794  0.778       
## stts:s_s_gM  0.782 -0.798 -0.978

DV: Silent2

Status*Mut

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ mut * status + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 778.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4355 -0.6681 -0.2871  0.4551  3.0362 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2943   0.5425  
##  Residual             2.0594   1.4351  
## Number of obs: 209, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)  
## (Intercept)   5.11214    1.99997 204.78140   2.556   0.0113 *
## mut          -0.34199    0.45312 202.25234  -0.755   0.4513  
## status       -0.52814    0.36741 204.96777  -1.437   0.1521  
## mut:status    0.07402    0.08172 202.88387   0.906   0.3661  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) mut    status
## mut        -0.962              
## status     -0.980  0.935       
## mut:status  0.953 -0.982 -0.962

Mut*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ mut * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 782.2
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4283 -0.7259 -0.2770  0.4816  2.8167 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3717   0.6097  
##  Residual             2.0210   1.4216  
## Number of obs: 209, groups:  USCID, 148
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)
## (Intercept)   1.15359    1.46829 204.84968   0.786    0.433
## mut           0.56514    0.36216 203.60989   1.560    0.120
## cis           0.19787    0.26691 204.71682   0.741    0.459
## mut:cis      -0.08799    0.06331 203.84785  -1.390    0.166
## 
## Correlation of Fixed Effects:
##         (Intr) mut    cis   
## mut     -0.938              
## cis     -0.961  0.883       
## mut:cis  0.926 -0.969 -0.938

Mut*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ mut * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 742.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.5077 -0.7162 -0.1247  0.5537  3.0140 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3001   0.5478  
##  Residual             1.8864   1.3735  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                  Estimate Std. Error         df t value Pr(>|t|)    
## (Intercept)      2.183222   0.469835 189.682385   4.647  6.3e-06 ***
## mut              0.003401   0.105015 194.976954   0.032    0.974    
## genderMale       0.808596   0.783377 199.814137   1.032    0.303    
## mut:genderMale  -0.025339   0.170320 198.351064  -0.149    0.882    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    gndrMl
## mut         -0.953              
## genderMale  -0.593  0.566       
## mut:gendrMl  0.580 -0.608 -0.963

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ mut * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 470.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.4335 -0.7332 -0.2038  0.4567  2.7041 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.5006   0.7076  
##  Residual             1.8172   1.3480  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                    Estimate Std. Error       df t value Pr(>|t|)    
## (Intercept)          3.3030     0.9402 113.0289   3.513 0.000638 ***
## mut                 -0.1941     0.2022 113.2119  -0.960 0.339131    
## s_s_genderMale      -1.0778     1.1177 115.6029  -0.964 0.336921    
## mut:s_s_genderMale   0.2626     0.2433 117.2497   1.079 0.282621    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) mut    s_s_gM
## mut         -0.971              
## s_s_gendrMl -0.841  0.817       
## mt:s_s_gndM  0.807 -0.831 -0.964

Status*CIS

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ status * cis + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 776.1
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.3691 -0.7300 -0.2541  0.3962  2.8623 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.3421   0.5849  
##  Residual             2.0300   1.4248  
## Number of obs: 208, groups:  USCID, 147
## 
## Fixed effects:
##              Estimate Std. Error        df t value Pr(>|t|)  
## (Intercept)   5.39602    2.16210 203.82228   2.496   0.0134 *
## status       -0.49439    0.41885 203.82446  -1.180   0.2392  
## cis          -0.37473    0.41732 202.03327  -0.898   0.3703  
## status:cis    0.06181    0.07751 202.40502   0.797   0.4262  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##            (Intr) status cis   
## status     -0.969              
## cis        -0.964  0.914       
## status:cis  0.959 -0.966 -0.972

Status*Rated Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ status * gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 739
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.5969 -0.6502 -0.1809  0.5420  3.1408 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.2478   0.4978  
##  Residual             1.9081   1.3813  
## Number of obs: 204, groups:  USCID, 143
## 
## Fixed effects:
##                    Estimate Std. Error        df t value Pr(>|t|)    
## (Intercept)         3.10616    0.77444 195.37098   4.011 8.61e-05 ***
## status             -0.16802    0.14073 196.37638  -1.194    0.234    
## genderMale          0.54382    1.07635 197.27882   0.505    0.614    
## status:genderMale   0.02384    0.19791 197.92217   0.120    0.904    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status gndrMl
## status      -0.983              
## genderMale  -0.724  0.714       
## stts:gndrMl  0.703 -0.716 -0.981

Mut*Sup. Gender

## Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest']
## Formula: silent2 ~ status * s_s_gender + (1 | USCID)
##    Data: fall24clean_long
## 
## REML criterion at convergence: 468.6
## 
## Scaled residuals: 
##     Min      1Q  Median      3Q     Max 
## -1.5934 -0.7398 -0.2120  0.4774  2.7041 
## 
## Random effects:
##  Groups   Name        Variance Std.Dev.
##  USCID    (Intercept) 0.4072   0.6381  
##  Residual             1.8670   1.3664  
## Number of obs: 128, groups:  USCID, 78
## 
## Fixed effects:
##                        Estimate Std. Error        df t value Pr(>|t|)  
## (Intercept)             2.13363    1.13187 117.75493   1.885   0.0619 .
## status                  0.05486    0.21149 117.23150   0.259   0.7958  
## s_s_genderMale          1.78978    1.42548 117.90203   1.256   0.2118  
## status:s_s_genderMale  -0.31996    0.26517 116.26725  -1.207   0.2300  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Correlation of Fixed Effects:
##             (Intr) status s_s_gM
## status      -0.981              
## s_s_gendrMl -0.794  0.779       
## stts:s_s_gM  0.782 -0.798 -0.979