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Table 4. Study-related moderators for the discrimination dataset
Moderator k/kc b/r SE dft Q(df) M(sd)/% Range 
Publication Status 72    0.664   0.189(1)   
Published (reference) 61 0.242/0.238 0.022 11.103       
Unpublished 11 -0.025/0.214 0.057 -0.435 0.664      
Type of Sample Population 72    0.870   0.279(2)   
Community (reference) 47 0.231/0.227 0.025 9.385       
Combination 13 0.015/0.242 0.056 0.274 0.784      
School 12 0.028/0.253 0.056 0.496 0.620      
Correlation Type 72    0.273   1.204(2)   
Pearson r (reference) 63 0.247/0.242 0.021 11.551       
non-Pearson r -0.063/0.182 0.058 -1.097 0.273      
Discrimination Measure:           
Discrimination-level 138          
Personal discrimination (reference) 92 0.233/0.229 0.018   12.918 50.281    
Combination discrimination 18 0.033/0.259 0.075  0.670 0.435 14.423    
Group discrimination 28 -0.137/0.096 0.046  0.008 -2.969 17.765    
Respondent- Discrimination Measure 138          
Self-report (reference) 112 0.201/0.198 0.016   12.578 59.343    
Interview/Combination 26 0.128/0.318 0.087  0.166 1.473 11.996    
Measure Quality Moderators           
Mean Discrimination Measure Items 67 0.006 0.003 2.458 0.014    9.56 (7.96) (1-36) 
Mean Discrimination Measure Alpha 55 0.158 0.299 0.528 0.597    0.84 (0.08) (0.59-0.96) 
Mental Health Measure:           
Mental Health Outcome Direction 138          
Negative outcome (reference) 103 0.256/0.251 0.021   12.398 50.191    
Positive outcome 35 -0.135/-0.121 0.035  <.001 -3.87 38.218    
Respondent- Mental Health Measure 138          
Self-report (reference) 108 0.203/0.201 0.016   12.515 59.073    
Interview/Combination 30 0.102/0.296 0.084  0.244 1.219 13.586    
Measure Quality Moderators           
Mean Mental Health Measure Items 67 0.002 0.001 1.678 0.093    16.62 (19.82) (1-115) 
Mean Mental Health Measure Alpha 58 -0.168 0.27 -0.624 0.533    0.84 (0.08) (0.6-0.96) 
Mean Mental Health Response Period 38 0.001 0.045 0.964    49.16 (64.62) (3-180) 
Moderator k/kc b/r SE dft Q(df) M(sd)/% Range 
Publication Status 72    0.664   0.189(1)   
Published (reference) 61 0.242/0.238 0.022 11.103       
Unpublished 11 -0.025/0.214 0.057 -0.435 0.664      
Type of Sample Population 72    0.870   0.279(2)   
Community (reference) 47 0.231/0.227 0.025 9.385       
Combination 13 0.015/0.242 0.056 0.274 0.784      
School 12 0.028/0.253 0.056 0.496 0.620      
Correlation Type 72    0.273   1.204(2)   
Pearson r (reference) 63 0.247/0.242 0.021 11.551       
non-Pearson r -0.063/0.182 0.058 -1.097 0.273      
Discrimination Measure:           
Discrimination-level 138          
Personal discrimination (reference) 92 0.233/0.229 0.018   12.918 50.281    
Combination discrimination 18 0.033/0.259 0.075  0.670 0.435 14.423    
Group discrimination 28 -0.137/0.096 0.046  0.008 -2.969 17.765    
Respondent- Discrimination Measure 138          
Self-report (reference) 112 0.201/0.198 0.016   12.578 59.343    
Interview/Combination 26 0.128/0.318 0.087  0.166 1.473 11.996    
Measure Quality Moderators           
Mean Discrimination Measure Items 67 0.006 0.003 2.458 0.014    9.56 (7.96) (1-36) 
Mean Discrimination Measure Alpha 55 0.158 0.299 0.528 0.597    0.84 (0.08) (0.59-0.96) 
Mental Health Measure:           
Mental Health Outcome Direction 138          
Negative outcome (reference) 103 0.256/0.251 0.021   12.398 50.191    
Positive outcome 35 -0.135/-0.121 0.035  <.001 -3.87 38.218    
Respondent- Mental Health Measure 138          
Self-report (reference) 108 0.203/0.201 0.016   12.515 59.073    
Interview/Combination 30 0.102/0.296 0.084  0.244 1.219 13.586    
Measure Quality Moderators           
Mean Mental Health Measure Items 67 0.002 0.001 1.678 0.093    16.62 (19.82) (1-115) 
Mean Mental Health Measure Alpha 58 -0.168 0.27 -0.624 0.533    0.84 (0.08) (0.6-0.96) 
Mean Mental Health Response Period 38 0.001 0.045 0.964    49.16 (64.62) (3-180) 

k = number of samples; kc = number of outcomes or correlations. Note: Random-effects models and mixed-effects models display z statistics, while robust variation estimation (RVE) models display t statistics. Z values are based upon the population mean while t statistics are based upon the sample mean. As random-effects models and mixed-effects model estimate the population means, those models use z values.

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