correct_r_split | R Documentation |

This correction is mathematically equivalent to correcting the correlation for direct range restriction in the split variable.

```
correct_r_split(r, pi, pa = 0.5, n = NULL)
```

`r` |
Vector of correlations affected by an uneven or unrepresentative split of a dichotomous variable. |

`pi` |
Vector of proportions of incumbent/sample cases in one of the categories of the dichotomous variable. |

`pa` |
Vector of proportions of applicant/population cases in one of the categories of the dichotomous variable. |

`n` |
Optional vector of sample sizes. |

`r_{c}=\frac{r_{obs}}{u\sqrt{\left(\frac{1}{u^{2}}-1\right)r_{obs}^{2}+1}}`

where `u=\sqrt{\frac{p_{i}(1-p_{i})}{p_{a}(1-p_{a})}}`

, the ratio of the dichotomous variance in the sample (`p_{i}`

is the incumbent/sample proportion in one of the two groups) to the dichotomous variance in the population (`p_{a}`

is the applicant/population proportion in one of the two groups).
This correction is identical to the correction for univariate direct range restriction, applied to a dichotomous variable.

Vector of correlations corrected for unrepresentative splits (if `n`

is supplied, corrected error variance and adjusted sample size is also reported).

Schmidt, F. L., & Hunter, J. E. (2015).
*Methods of meta-analysis: Correcting error and bias in research findings* (3rd ed.).
Sage. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.4135/9781483398105")}. pp. 287-288.

```
correct_r_split(r = 0.3, pi = .9, pa = .5, n = 100)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.