psychmeta: Psychometric Meta-Analysis Toolkit

correct_d

R Documentation

Correct `d` values for measurement error and/or range restriction

Description

This function is a wrapper for the correct_r() function to correct d values for statistical and psychometric artifacts.

Usage

correct_d(
  correction = c("meas", "uvdrr_g", "uvdrr_y", "uvirr_g", "uvirr_y", "bvdrr", "bvirr"),
  d,
  ryy = 1,
  uy = 1,
  rGg = 1,
  pi = NULL,
  pa = NULL,
  uy_observed = TRUE,
  ryy_restricted = TRUE,
  ryy_type = "alpha",
  k_items_y = NA,
  sign_rgz = 1,
  sign_ryz = 1,
  n1 = NULL,
  n2 = NA,
  conf_level = 0.95,
  correct_bias = FALSE
)

Arguments

`correction`	Type of correction to be applied. Options are "meas", "uvdrr_g", "uvdrr_y", "uvirr_g", "uvirr_y", "bvdrr", "bvirr"
`d`	Vector of `d` values.
`ryy`	Vector of reliability coefficients for Y (the continuous variable).
`uy`	Vector of u ratios for Y (the continuous variable).
`rGg`	Vector of reliabilities for the group variable (i.e., the correlations between observed group membership and latent group membership).
`pi`	Proportion of cases in one of the groups in the observed data (not necessary if `n1` and `n2` reflect this proportionality).
`pa`	Proportion of cases in one of the groups in the population.
`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.
`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.
`ryy_type`	String vector identifying the types of reliability estimates supplied (e.g., "alpha", "retest", "interrater_r", "splithalf"). See the documentation for `ma_r()` for a full list of acceptable reliability types.
`k_items_y`	Numeric vector identifying the number of items in each scale.
`sign_rgz`	Vector of signs of the relationships between grouping variables and the selection mechanism.
`sign_ryz`	Vector of signs of the relationships between Y variables and the selection mechanism.
`n1`	Optional vector of sample sizes associated with group 1 (or the total sample size, if `n2` is `NULL`).
`n2`	Optional vector of sample sizes associated with group 2.
`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 d values (dgyi), range-restricted d values corrected for measurement error in Y only (dgpi), range-restricted d values corrected for measurement error in the grouping variable only (dGyi), and range-restricted true-score d values (dGpi), range-corrected observed-score d values (dgya), range-corrected d values corrected for measurement error in Y only (dgpa), range-corrected d values corrected for measurement error in the grouping variable only (dGya), and range-corrected true-score d values (dGpa).

References

Alexander, R. A., Carson, K. P., Alliger, G. M., & Carr, L. (1987). Correcting doubly truncated correlations: An improved approximation for correcting the bivariate normal correlation when truncation has occurred on both variables. Educational and Psychological Measurement, 47(2), 309–315. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0013164487472002")}

Dahlke, J. A., & Wiernik, B. M. (2020). Not restricted to selection research: Accounting for indirect range restriction in organizational research. Organizational Research Methods, 23(4), 717–749. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/1094428119859398")}

Hunter, J. E., Schmidt, F. L., & Le, H. (2006). Implications of direct and indirect range restriction for meta-analysis methods and findings. Journal of Applied Psychology, 91(3), 594–612. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1037/0021-9010.91.3.594")}

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), 975–1008. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/peps.12122")}

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. 43–44, 140–141.

Examples

## Correction for measurement error only
correct_d(correction = "meas", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "meas", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for direct range restriction in the continuous variable
correct_d(correction = "uvdrr_y", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "uvdrr_y", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for direct range restriction in the grouping variable
correct_d(correction = "uvdrr_g", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "uvdrr_g", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for indirect range restriction in the continuous variable
correct_d(correction = "uvdrr_y", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "uvdrr_y", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for indirect range restriction in the grouping variable
correct_d(correction = "uvirr_g", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "uvirr_g", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for indirect range restriction in the continuous variable
correct_d(correction = "uvdrr_y", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "uvdrr_y", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for direct range restriction in both variables
correct_d(correction = "bvdrr", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "bvdrr", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

## Correction for indirect range restriction in both variables
correct_d(correction = "bvirr", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = .7, pa = .5)
correct_d(correction = "bvirr", d = .5, ryy = .8, uy = .7,
          rGg = .9, pi = NULL, pa = .5, n1 = 100, n2 = 200)

jadahlke/psychmeta documentation built on June 29, 2024, 5:43 a.m.