.ma_r_ic

Data frame of individual-correction information.

data

Type of correlation to be meta-analyzed: "ts" for true score, "vgx" for validity generalization with "X" as the predictor,
"vgy" for for validity generalization with "X" as the predictor, and "all" for the complete set of results.

type

If TRUE, the meta-analysis will not generate an escalc object. Meant to speed up bootstrap analyses that do not require supplemental output.

run_lean

List of arguments to be used in the meta-analysis function.

ma_arg_list

Internal function for computing individual-correction meta-analyses of correlations

internal

Tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.

.ma_r_ic: Internal function for computing individual-correction meta-analyses of correlations

Description

Usage

Arguments

Value