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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