Table 19. Moderation of stress type (discrimination vs. life stressors) using full sample

Categorical Moderator | k/kc | b/r | SE | z | p | t | df_{t} | 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 | z | p | t | df_{t} | 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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