adjust_n_r | R Documentation |

This function is used to compute the adjusted sample size of a non-Pearson correlation (e.g., a tetrachoric correlation) based on the correlation and its estimated error variance. This function allows users to adjust the sample size of a correlation corrected for sporadic artifacts (e.g., unequal splits of dichotomous variables, artificial dichotomization of continuous variables) prior to use in a meta-analysis.

```
adjust_n_r(r, var_e)
```

`r` |
Vector of correlations. |

`var_e` |
Vector of error variances. |

The adjusted sample size is computed as:

`n_{adjusted}=\frac{(r^{2}-1)^{2}+var_{e}}{var_{e}}`

A vector of adjusted sample sizes.

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")}. Equation 3.7.

```
adjust_n_r(r = .3, var_e = .01)
```

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