Table 3. Discrimination meta-analysis results using random-effects and robust variance estimation models.

Measure | Random-Effects Model | RVE ⍴ = .8 | RVE ⍴ = 0 | RVE ⍴ = .2 | RVE ⍴ = .4 | RVE ⍴ = .6 | RVE ⍴ = 1 |

r | 0.234 | 0.215 | 0.215 | 0.215 | 0.215 | 0.215 | 0.215 |

95% CI | [0.197, 0.271] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] |

z-value | 11.945 | ||||||

t-value | 11.960 | 11.961 | 11.961 | 11.961 | 11.96 | 11.96 | |

tau-squared | 0.022 | 0.018 | 0.018 | 0.018 | 0.018 | 0.018 | 0.018 |

Q-stat | 338.295 | ||||||

I-squared | 82.773 | 79.510 | 79.439 | 79.457 | 79.474 | 79.492 | 79.528 |

Index of Dispersion | [-0.055, 0.487] |

Measure | Random-Effects Model | RVE ⍴ = .8 | RVE ⍴ = 0 | RVE ⍴ = .2 | RVE ⍴ = .4 | RVE ⍴ = .6 | RVE ⍴ = 1 |

r | 0.234 | 0.215 | 0.215 | 0.215 | 0.215 | 0.215 | 0.215 |

95% CI | [0.197, 0.271] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] | [0.18, 0.249] |

z-value | 11.945 | ||||||

t-value | 11.960 | 11.961 | 11.961 | 11.961 | 11.96 | 11.96 | |

tau-squared | 0.022 | 0.018 | 0.018 | 0.018 | 0.018 | 0.018 | 0.018 |

Q-stat | 338.295 | ||||||

I-squared | 82.773 | 79.510 | 79.439 | 79.457 | 79.474 | 79.492 | 79.528 |

Index of Dispersion | [-0.055, 0.487] |

Robust variance estimation (RVE) model at ⍴ = .8 is the weight used in all RVE models. 95% CI: 95% confidence intervals around the weighted mean correlation.

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