correct_r_coarseness | R Documentation |

Corrects correlations for scale coarseness.

```
correct_r_coarseness(
r,
kx = NULL,
ky = NULL,
n = NULL,
dist_x = "norm",
dist_y = "norm",
bin_value_x = c("median", "mean", "index"),
bin_value_y = c("median", "mean", "index"),
width_x = 3,
width_y = 3,
lbound_x = NULL,
ubound_x = NULL,
lbound_y = NULL,
ubound_y = NULL,
index_values_x = NULL,
index_values_y = NULL
)
```

`r` |
Observed correlation. |

`kx` , `ky` |
Number of scale points used to measure the x and y variables. Set to NULL to treat as continuously measured. |

`n` |
Optional sample size. |

`dist_x` , `dist_y` |
Assumed latent distribution of the x and y variables. |

`bin_value_x` , `bin_value_y` |
Are the scale points used to measure the of the x and y variables assumed to represent bin medians, means, or index values? |

`width_x` , `width_y` |
For symmetrically distributed variables, how many standard deviations above/below the latent mean should be be used for the latent variable range to make the correction? (Note: Setting |

`lbound_x` , `lbound_y` |
What lower bound of the range for the latent x and y variables should be used to make the correction? (Note: For normally distributed variables, setting |

`ubound_x` , `ubound_y` |
What upper bound of the range for the latent x and y variables should be used to make the correction? (Note: For normally distributed variables, setting |

`index_values_x` , `index_values_y` |
Optional. If |

Vector of correlations corrected for scale coarseness (if `n`

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

Aguinis, H., Pierce, C. A., & Culpepper, S. A. (2009).
Scale coarseness as a methodological artifact:
Correcting correlation coefficients attenuated from using coarse scales.
*Organizational Research Methods, 12*(4), 623–652. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/1094428108318065")}

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.

Peters, C. C., & Van Voorhis, W. R. (1940).
*Statistical procedures and their mathematical bases*.
New York, NY: Mcgraw-Hill. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/13596-000")}. pp. 393–399.

```
correct_r_coarseness(r = .35, kx = 5, ky = 4, n = 100)
correct_r_coarseness(r = .35, kx = 5, n = 100)
correct_r_coarseness(r = .35, kx = 5, ky = 4, n = 100, dist_x="unif", dist_y="norm")
```

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