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Table 19. Moderation of stress type (discrimination vs. life stressors) using full sample
Categorical Moderator k/kc b/r SE dft Q(df) 
Stress Type (REM) 141    <.001   14.075(2) 
Discrimination (reference) 72 0.239/0.234 0.026 9.077     
Life Stressor 69 0.144/0.365 0.038 3.752 <.001    
Stress Type (RVE) 295        
Discrimination (reference) 138 0.21/0.207 0.017   12.354 66.191  
Life Stressor 157 0.125/0.323 0.031  <.001 4.093 120.235  
 
         
Categorical Moderator k/kc b/r SE dft Q(df) 
Stress Type (REM) 141    <.001   14.075(2) 
Discrimination (reference) 72 0.239/0.234 0.026 9.077     
Life Stressor 69 0.144/0.365 0.038 3.752 <.001    
Stress Type (RVE) 295        
Discrimination (reference) 138 0.21/0.207 0.017   12.354 66.191  
Life Stressor 157 0.125/0.323 0.031  <.001 4.093 120.235  
 
         

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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