data_r_meas_multi

<p>Data set for use in example meta-analyses correcting for measurement error in multiple variables.</p>

datasets

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>.

Jeffrey Dahlke

psychmeta

Psychometric Meta-Analysis Toolkit

Jeffrey A. Dahlke

Brenton M. Wiernik

Wesley Gardiner

Michael T. Brannick

Jack Kostal

Sean Potter

John Sakaluk

Yuejia (Mandy) Teng

data_r_meas_multi function

Format

Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs — data_r_meas_multi

Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs

data_r_meas_multi: Hypothetical correlation dataset simulated to satisfy the assumptions of the correction for measurement error only in multiple constructs

Description

Usage

Arguments

Format

Examples