Exploratory Items We Forgot About

Graphs

Mutability

Graphs

Moderation

Gain Status

## 
## Call:
## lm(formula = exp_1 ~ status_cond * mutability_condition, data = vignette_clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.9398 -0.8969  0.0602  1.0602  4.3778 
## 
## Coefficients:
##                                                     Estimate Std. Error t value             Pr(>|t|)    
## (Intercept)                                          4.93976    0.16264  30.372 < 0.0000000000000002 ***
## status_condlow                                      -0.04285    0.22155  -0.193             0.846710    
## mutability_condition2. No Mutability                 0.07201    0.22865   0.315             0.752953    
## mutability_condition3. Low Mutabilty                -2.31754    0.22549 -10.278 < 0.0000000000000002 ***
## status_condlow:mutability_condition2. No Mutability -1.22501    0.31889  -3.842             0.000137 ***
## status_condlow:mutability_condition3. Low Mutabilty -0.77704    0.31466  -2.469             0.013852 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.482 on 517 degrees of freedom
## Multiple R-squared:  0.4185, Adjusted R-squared:  0.4128 
## F-statistic:  74.4 on 5 and 517 DF,  p-value: < 0.00000000000000022

Grouped by Status

Grouped by Mutability

Graphs

Lose Status

## 
## Call:
## lm(formula = exp_2 ~ status_cond * mutability_condition, data = vignette_clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.2048 -1.0116 -0.2048  0.7952  5.1889 
## 
## Coefficients:
##                                                     Estimate Std. Error t value             Pr(>|t|)    
## (Intercept)                                           3.2048     0.1498  21.394 < 0.0000000000000002 ***
## status_condlow                                       -0.5244     0.2041  -2.570               0.0105 *  
## mutability_condition2. No Mutability                 -0.3225     0.2106  -1.531               0.1263    
## mutability_condition3. Low Mutabilty                 -1.3937     0.2077  -6.711       0.000000000051 ***
## status_condlow:mutability_condition2. No Mutability   0.7030     0.2937   2.394               0.0170 *  
## status_condlow:mutability_condition3. Low Mutabilty   0.7249     0.2898   2.501               0.0127 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.365 on 517 degrees of freedom
## Multiple R-squared:  0.1277, Adjusted R-squared:  0.1193 
## F-statistic: 15.14 on 5 and 517 DF,  p-value: 0.00000000000006861

Grouped by Status

Grouped by Mutability

Graphs

Be Disruptive

## 
## Call:
## lm(formula = exp_3 ~ status_cond * mutability_condition, data = vignette_clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.1765 -0.8657 -0.5783  0.4217  5.1463 
## 
## Coefficients:
##                                                     Estimate Std. Error t value             Pr(>|t|)    
## (Intercept)                                           1.5783     0.1323  11.933 < 0.0000000000000002 ***
## status_condlow                                        0.2361     0.1802   1.310              0.19062    
## mutability_condition2. No Mutability                  0.5982     0.1860   3.217              0.00138 ** 
## mutability_condition3. Low Mutabilty                  0.2995     0.1834   1.633              0.10308    
## status_condlow:mutability_condition2. No Mutability  -0.5589     0.2593  -2.155              0.03161 *  
## status_condlow:mutability_condition3. Low Mutabilty  -0.1837     0.2559  -0.718              0.47325    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.205 on 517 degrees of freedom
## Multiple R-squared:  0.02046,    Adjusted R-squared:  0.01099 
## F-statistic:  2.16 on 5 and 517 DF,  p-value: 0.05724

Grouped by Status

Grouped by Mutability

Graphs

Disengage

## 
## Call:
## lm(formula = exp_4 ~ status_cond * mutability_condition, data = vignette_clean)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.3953 -1.1647 -0.1753  0.8293  5.3133 
## 
## Coefficients:
##                                                     Estimate Std. Error t value             Pr(>|t|)    
## (Intercept)                                           1.6867     0.1732   9.741 < 0.0000000000000002 ***
## status_condlow                                        0.4885     0.2359   2.071               0.0389 *  
## mutability_condition2. No Mutability                  0.4780     0.2434   1.963               0.0501 .  
## mutability_condition3. Low Mutabilty                  0.4244     0.2401   1.768               0.0777 .  
## status_condlow:mutability_condition2. No Mutability   0.5175     0.3395   1.524               0.1280    
## status_condlow:mutability_condition3. Low Mutabilty   1.7957     0.3350   5.360          0.000000125 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.578 on 517 degrees of freedom
## Multiple R-squared:  0.2497, Adjusted R-squared:  0.2425 
## F-statistic: 34.42 on 5 and 517 DF,  p-value: < 0.00000000000000022

Grouped by Status

Grouped by Mutability

Graphs

Mediation

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##  
## PROCESS is now ready for use.
## Copyright 2021 by Andrew F. Hayes ALL RIGHTS RESERVED
## 

Notes

Variable Information

Variable Names Variable Text
exp_1 Do you think that you would gain status in this group
exp_2 Do you think that you would lose status in this group
exp_3 I will be disruptive
exp_4 I will not engage in group discussions

Mutability coding

Mutability # Coding Mutability Text
1 High Mutability
0 No Mutability
-1 Low Mutability

Results

All IVs = Status. All Ws = Mutability

Mediator DVs CI of index cross zero CI cross zero for Low CI cross zero for No CI cross zero for High
exp_1 Voice No N N Y
exp_1 Vthree No N N Y
exp_1 exp_3 Yes Y Y Y
exp_1 exp_4 No N N Y
exp_2 Voice No N N Y
exp_2 Vthree No N N Y
exp_2 exp_3 No Y Y N
exp_2 exp_4 No Y Y N

Mediator: Exp_1

DV: Voice

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : voice          
##     X : status_cond_num
##     M : exp_1          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 636539
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_1
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.6081    0.3697    2.3702  101.4902    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           3.8294    0.0674   56.8277    0.0000    3.6970    3.9618
## status_cond_num    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
## cond_num           1.3576    0.0817   16.6162    0.0000    1.1971    1.5181
## Int_1             -0.1824    0.0817   -2.2322    0.0260   -0.3429   -0.0219
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0061    4.9827    1.0000  519.0000    0.0260
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000    0.5399    0.1063    5.0788    0.0000    0.3310    0.7487
##      0.0000    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
##      1.0000    0.1751    0.1055    1.6598    0.0976   -0.0322    0.3824
## 
## *********************************************************************** 
## Outcome Variable: voice
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.6912    0.4778    1.5775  237.8731    2.0000  520.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           3.5085    0.1236   28.3800    0.0000    3.2657    3.7514
## status_cond_num    0.8033    0.0556   14.4365    0.0000    0.6940    0.9126
## exp_1              0.3982    0.0288   13.8257    0.0000    0.3416    0.4548
## 
## *********************************************************************** 
## Bootstrapping progress:
## 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##      0.8033    0.0556   14.4365    0.0000    0.6940    0.9126
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_1    ->    voice
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000    0.2150    0.0522    0.1227    0.3257
##      0.0000    0.1424    0.0298    0.0877    0.2052
##      1.0000    0.0697    0.0366   -0.0032    0.1416
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num   -0.0726    0.0338   -0.1437   -0.0114
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

DV: Vthree

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : vthree         
##     X : status_cond_num
##     M : exp_1          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 567583
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_1
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.6081    0.3697    2.3702  101.4902    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           3.8294    0.0674   56.8277    0.0000    3.6970    3.9618
## status_cond_num    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
## cond_num           1.3576    0.0817   16.6162    0.0000    1.1971    1.5181
## Int_1             -0.1824    0.0817   -2.2322    0.0260   -0.3429   -0.0219
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0061    4.9827    1.0000  519.0000    0.0260
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000    0.5399    0.1063    5.0788    0.0000    0.3310    0.7487
##      0.0000    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
##      1.0000    0.1751    0.1055    1.6598    0.0976   -0.0322    0.3824
## 
## *********************************************************************** 
## Outcome Variable: vthree
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.6936    0.4810    1.5062  241.0009    2.0000  520.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           3.6509    0.1208   30.2231    0.0000    3.4136    3.8883
## status_cond_num    0.8134    0.0544   14.9596    0.0000    0.7066    0.9202
## exp_1              0.3789    0.0281   13.4642    0.0000    0.3236    0.4342
## 
## *********************************************************************** 
## Bootstrapping progress:
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##      0.8134    0.0544   14.9596    0.0000    0.7066    0.9202
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_1    ->    vthree
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000    0.2046    0.0496    0.1138    0.3062
##      0.0000    0.1355    0.0284    0.0823    0.1935
##      1.0000    0.0664    0.0356   -0.0033    0.1366
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num   -0.0691    0.0325   -0.1373   -0.0072
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

DV: exp_3

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : exp_3          
##     X : status_cond_num
##     M : exp_1          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 299413
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_1
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.6081    0.3697    2.3702  101.4902    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           3.8294    0.0674   56.8277    0.0000    3.6970    3.9618
## status_cond_num    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
## cond_num           1.3576    0.0817   16.6162    0.0000    1.1971    1.5181
## Int_1             -0.1824    0.0817   -2.2322    0.0260   -0.3429   -0.0219
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0061    4.9827    1.0000  519.0000    0.0260
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000    0.5399    0.1063    5.0788    0.0000    0.3310    0.7487
##      0.0000    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
##      1.0000    0.1751    0.1055    1.6598    0.0976   -0.0322    0.3824
## 
## *********************************************************************** 
## Outcome Variable: exp_3
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.0200    0.0004    1.4733    0.1045    2.0000  520.0000    0.9008
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           1.9183    0.1195   16.0566    0.0000    1.6836    2.1530
## status_cond_num    0.0116    0.0538    0.2153    0.8296   -0.0941    0.1172
## exp_1             -0.0120    0.0278   -0.4327    0.6654   -0.0667    0.0426
## 
## *********************************************************************** 
## Bootstrapping progress:
## 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##      0.0116    0.0538    0.2153    0.8296   -0.0941    0.1172
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_1    ->    exp_3
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000   -0.0065    0.0147   -0.0370    0.0220
##      0.0000   -0.0043    0.0096   -0.0244    0.0149
##      1.0000   -0.0021    0.0054   -0.0139    0.0083
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num    0.0022    0.0054   -0.0075    0.0147
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

DV: exp_4

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : exp_4          
##     X : status_cond_num
##     M : exp_1          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 317030
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_1
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.6081    0.3697    2.3702  101.4902    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           3.8294    0.0674   56.8277    0.0000    3.6970    3.9618
## status_cond_num    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
## cond_num           1.3576    0.0817   16.6162    0.0000    1.1971    1.5181
## Int_1             -0.1824    0.0817   -2.2322    0.0260   -0.3429   -0.0219
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0061    4.9827    1.0000  519.0000    0.0260
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000    0.5399    0.1063    5.0788    0.0000    0.3310    0.7487
##      0.0000    0.3575    0.0674    5.3052    0.0000    0.2251    0.4899
##      1.0000    0.1751    0.1055    1.6598    0.0976   -0.0322    0.3824
## 
## *********************************************************************** 
## Outcome Variable: exp_4
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.5139    0.2641    2.4267   93.3270    2.0000  520.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           4.0228    0.1533   26.2360    0.0000    3.7216    4.3241
## status_cond_num   -0.4911    0.0690   -7.1151    0.0000   -0.6266   -0.3555
## exp_1             -0.3705    0.0357  -10.3723    0.0000   -0.4407   -0.3003
## 
## *********************************************************************** 
## Bootstrapping progress:
## 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##     -0.4911    0.0690   -7.1151    0.0000   -0.6266   -0.3555
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_1    ->    exp_4
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000   -0.2000    0.0496   -0.3037   -0.1117
##      0.0000   -0.1325    0.0290   -0.1932   -0.0782
##      1.0000   -0.0649    0.0347   -0.1325    0.0030
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num    0.0676    0.0315    0.0111    0.1327
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

Mediator: Exp_2

DV: Voice

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : voice          
##     X : status_cond_num
##     M : exp_2          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 714931
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_2
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.3070    0.0943    1.9264   18.0076    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           2.5996    0.0608   42.7918    0.0000    2.4803    2.7190
## status_cond_num    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
## cond_num           0.5115    0.0737    6.9439    0.0000    0.3668    0.6562
## Int_1              0.1904    0.0737    2.5849    0.0100    0.0457    0.3351
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0117    6.6819    1.0000  519.0000    0.0100
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000   -0.1586    0.0958   -1.6547    0.0986   -0.3468    0.0297
##      0.0000    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
##      1.0000    0.2222    0.0951    2.3361    0.0199    0.0353    0.4091
## 
## *********************************************************************** 
## Outcome Variable: voice
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.5435    0.2954    2.1284  109.0186    2.0000  520.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           5.3436    0.1307   40.8953    0.0000    5.0869    5.6003
## status_cond_num    0.9284    0.0638   14.5516    0.0000    0.8031    1.0538
## exp_2             -0.1170    0.0439   -2.6641    0.0080   -0.2033   -0.0307
## 
## *********************************************************************** 
## Bootstrapping progress:
## 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##      0.9284    0.0638   14.5516    0.0000    0.8031    1.0538
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_2    ->    voice
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000    0.0186    0.0169   -0.0024    0.0603
##      0.0000   -0.0037    0.0076   -0.0192    0.0128
##      1.0000   -0.0260    0.0168   -0.0659   -0.0013
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num   -0.0223    0.0150   -0.0594   -0.0013
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

DV: Vthree

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : vthree         
##     X : status_cond_num
##     M : exp_2          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 707181
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_2
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.3070    0.0943    1.9264   18.0076    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           2.5996    0.0608   42.7918    0.0000    2.4803    2.7190
## status_cond_num    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
## cond_num           0.5115    0.0737    6.9439    0.0000    0.3668    0.6562
## Int_1              0.1904    0.0737    2.5849    0.0100    0.0457    0.3351
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0117    6.6819    1.0000  519.0000    0.0100
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000   -0.1586    0.0958   -1.6547    0.0986   -0.3468    0.0297
##      0.0000    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
##      1.0000    0.2222    0.0951    2.3361    0.0199    0.0353    0.4091
## 
## *********************************************************************** 
## Outcome Variable: vthree
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.5553    0.3083    2.0075  115.8871    2.0000  520.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           5.3828    0.1269   42.4169    0.0000    5.1335    5.6321
## status_cond_num    0.9324    0.0620   15.0465    0.0000    0.8106    1.0541
## exp_2             -0.1058    0.0426   -2.4807    0.0134   -0.1896   -0.0220
## 
## *********************************************************************** 
## Bootstrapping progress:
## 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##      0.9324    0.0620   15.0465    0.0000    0.8106    1.0541
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_2    ->    vthree
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000    0.0168    0.0147   -0.0021    0.0540
##      0.0000   -0.0034    0.0071   -0.0184    0.0109
##      1.0000   -0.0235    0.0154   -0.0607   -0.0011
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num   -0.0201    0.0133   -0.0520   -0.0014
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

DV: exp_3

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : exp_3          
##     X : status_cond_num
##     M : exp_2          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 913767
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_2
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.3070    0.0943    1.9264   18.0076    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           2.5996    0.0608   42.7918    0.0000    2.4803    2.7190
## status_cond_num    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
## cond_num           0.5115    0.0737    6.9439    0.0000    0.3668    0.6562
## Int_1              0.1904    0.0737    2.5849    0.0100    0.0457    0.3351
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0117    6.6819    1.0000  519.0000    0.0100
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000   -0.1586    0.0958   -1.6547    0.0986   -0.3468    0.0297
##      0.0000    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
##      1.0000    0.2222    0.0951    2.3361    0.0199    0.0353    0.4091
## 
## *********************************************************************** 
## Outcome Variable: exp_3
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.1392    0.0194    1.4453    5.1388    2.0000  520.0000    0.0062
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           1.5711    0.1077   14.5909    0.0000    1.3595    1.7826
## status_cond_num    0.0060    0.0526    0.1148    0.9087   -0.0973    0.1093
## exp_2              0.1159    0.0362    3.2024    0.0014    0.0448    0.1870
## 
## *********************************************************************** 
## Bootstrapping progress:
## 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##      0.0060    0.0526    0.1148    0.9087   -0.0973    0.1093
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_2    ->    exp_3
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000   -0.0184    0.0126   -0.0456    0.0035
##      0.0000    0.0037    0.0078   -0.0095    0.0212
##      1.0000    0.0258    0.0148    0.0035    0.0605
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num    0.0221    0.0113    0.0039    0.0478
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.

DV: exp_4

## 
## ********************* PROCESS for R Version 4.0.1 ********************* 
##  
##            Written by Andrew F. Hayes, Ph.D.  www.afhayes.com              
##    Documentation available in Hayes (2022). www.guilford.com/p/hayes3   
##  
## *********************************************************************** 
##                        
## Model : 7              
##     Y : exp_4          
##     X : status_cond_num
##     M : exp_2          
##     W : cond_num       
## 
## Sample size: 523
## 
## Random seed: 71074
## 
## 
## *********************************************************************** 
## Outcome Variable: exp_2
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.3070    0.0943    1.9264   18.0076    3.0000  519.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           2.5996    0.0608   42.7918    0.0000    2.4803    2.7190
## status_cond_num    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
## cond_num           0.5115    0.0737    6.9439    0.0000    0.3668    0.6562
## Int_1              0.1904    0.0737    2.5849    0.0100    0.0457    0.3351
## 
## Product terms key:
## Int_1  :  status_cond_num  x  cond_num      
## 
## Test(s) of highest order unconditional interaction(s):
##       R2-chng         F       df1       df2         p
## X*W    0.0117    6.6819    1.0000  519.0000    0.0100
## ----------
## Focal predictor: status_cond_num (X)
##       Moderator: cond_num (W)
## 
## Conditional effects of the focal predictor at values of the moderator(s):
##    cond_num    effect        se         t         p      LLCI      ULCI
##     -1.0000   -0.1586    0.0958   -1.6547    0.0986   -0.3468    0.0297
##      0.0000    0.0318    0.0608    0.5238    0.6007   -0.0875    0.1512
##      1.0000    0.2222    0.0951    2.3361    0.0199    0.0353    0.4091
## 
## *********************************************************************** 
## Outcome Variable: exp_4
## 
## Model Summary: 
##           R      R-sq       MSE         F       df1       df2         p
##      0.3568    0.1273    2.8780   37.9304    2.0000  520.0000    0.0000
## 
## Model: 
##                     coeff        se         t         p      LLCI      ULCI
## constant           2.1961    0.1519   14.4534    0.0000    1.8976    2.4946
## status_cond_num   -0.6082    0.0742   -8.1975    0.0000   -0.7539   -0.4624
## exp_2              0.1548    0.0511    3.0313    0.0026    0.0545    0.2551
## 
## *********************************************************************** 
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## 
## **************** DIRECT AND INDIRECT EFFECTS OF X ON Y ****************
## 
## Direct effect of X on Y:
##      effect        se         t         p      LLCI      ULCI
##     -0.6082    0.0742   -8.1975    0.0000   -0.7539   -0.4624
## 
## Conditional indirect effects of X on Y:
## 
## INDIRECT EFFECT:
## 
## status_cond_num    ->    exp_2    ->    exp_4
## 
##    cond_num    Effect    BootSE  BootLLCI  BootULCI
##     -1.0000   -0.0245    0.0203   -0.0743    0.0030
##      0.0000    0.0049    0.0102   -0.0157    0.0267
##      1.0000    0.0344    0.0211    0.0033    0.0841
## 
##      Index of moderated mediation:
##              Index    BootSE  BootLLCI  BootULCI
## cond_num    0.0295    0.0180    0.0036    0.0728
## 
## ---
## 
## ******************** ANALYSIS NOTES AND ERRORS ************************ 
## 
## Level of confidence for all confidence intervals in output: 95
## 
## Number of bootstraps for percentile bootstrap confidence intervals: 5000
## 
## W values in conditional tables are the 16th, 50th, and 84th percentiles.