Description Usage Arguments Value Examples

Power for Comparing Independent Coefficients in Multiple Regression with Two or Three Predictors Requires correlations between all variables as sample size. Means, sds, and alpha are option. Also computes Power(All)

1 2 3 |

`ry1_1` |
Correlation between DV (y) and first predictor (1), first test |

`ry2_1` |
Correlation between DV (y) and second predictor (2), first test |

`ry3_1` |
Correlation between DV (y) and third predictor (3), first test |

`r12_1` |
Correlation between first (1) and second predictor (2), first test |

`r13_1` |
Correlation between first (1) and third predictor (3), first test |

`r23_1` |
Correlation between second (2) and third predictor (3), first test |

`n1` |
Sample size first test |

`ry1_2` |
Correlation between DV (y) and first predictor (1), second test |

`ry2_2` |
Correlation between DV (y) and second predictor (2), second test |

`ry3_2` |
Correlation between DV (y) and third predictor (3), second test |

`r12_2` |
Correlation between first (1) and second predictor (2), second test |

`r13_2` |
Correlation between first (1) and third predictor (3), second test |

`r23_2` |
Correlation between second (2) and third predictor (3), second test |

`n2` |
Sample size second test |

`alpha` |
Type I error (default is .05) |

Power for Comparing Independent Coefficients in Multiple Regression

1 2 3 | ```
indb(ry1_1=.40, ry2_1=.40, ry3_1 =-.40, r12_1=-.15,r13_1=-.60, r23_1=.25,
ry1_2=.40, ry2_2=.10, ry3_2 =-.40, r12_2=-.15,r13_2=-.60, r23_2=.25,
n1=50,n2=50, alpha=.05)
``` |

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