psychmeta (version 0.2.4)

correct_r_bvirr: Correct correlations for bivariate indirect range restriction and measurement error

Description

Correct correlations for bivariate indirect range restriction and measurement error

Usage

correct_r_bvirr(rxyi, ux = 1, uy = 1, rxx = 1, ryy = 1,
  ux_observed = TRUE, uy_observed = TRUE, rxx_restricted = TRUE,
  ryy_restricted = TRUE, sign_rxz = 1, sign_ryz = 1, n = NULL,
  conf_level = 0.95, correct_bias = FALSE)

Arguments

rxyi

Vector of observed correlations.

ux

Vector of u ratios for X.

uy

Vector of u ratios for Y.

rxx

Vector of reliability coefficients for X.

ryy

Vector of reliability coefficients for Y.

ux_observed

Logical vector in which each entry specifies whether the corresponding ux value is an observed-score u ratio (TRUE) or a true-score u ratio. All entries are TRUE by default.

uy_observed

Logical vector in which each entry specifies whether the corresponding uy value is an observed-score u ratio (TRUE) or a true-score u ratio. All entries are TRUE by default.

rxx_restricted

Logical vector in which each entry specifies whether the corresponding rxx value is an incumbent reliability (TRUE) or an applicant reliability. All entries are TRUE by default.

ryy_restricted

Logical vector in which each entry specifies whether the corresponding rxx value is an incumbent reliability (TRUE) or an applicant reliability. All entries are TRUE by default.

sign_rxz

Vector of signs of the relationships between X variables and the selection mechanism.

sign_ryz

Vector of signs of the relationships between Y variables and the selection mechanism.

n

Optional vector of sample sizes associated with the rxyi correlations.

conf_level

Confidence level to define the width of the confidence interval (default = .95).

correct_bias

Logical argument that determines whether to correct error-variance estimates for small-sample bias in correlations (TRUE) or not (FALSE). For sporadic corrections (e.g., in mixed artifact-distribution meta-analyses), this should be set to FALSE, the default).

Value

Data frame(s) of observed correlations (rxyi), operational range-restricted correlations corrected for measurement error in Y only (rxpi), operational range-restricted correlations corrected for measurement error in X only (rtyi), and range-restricted true-score correlations (rtpi), range-corrected observed-score correlations (rxya), operational range-corrected correlations corrected for measurement error in Y only (rxpa), operational range-corrected correlations corrected for measurement error in X only (rtya), and range-corrected true-score correlations (rtpa).

References

Le, H., Oh, I.-S., Schmidt, F. L., & Wooldridge, C. D. (2016). Correction for range restriction in meta-analysis revisited: Improvements and implications for organizational research. Personnel Psychology, 69(4), 975<U+2013>1008. https://doi.org/10.1111/peps.12122

Examples

# NOT RUN {
correct_r_bvirr(rxyi = .3, ux = .8, uy = .8, rxx = .8, ryy = .8,
     ux_observed = TRUE, uy_observed = TRUE, rxx_restricted = TRUE, ryy_restricted = TRUE)
correct_r_bvirr(rxyi = .3, ux = .8, uy = .8, rxx = .8, ryy = .8,
     ux_observed = TRUE, uy_observed = TRUE, rxx_restricted = TRUE, ryy_restricted = TRUE, n = 100)
# }