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. 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. 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. 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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