.lambda_bvirr

Internal function to produce lambda coefficients to use in the Case V correction for bivariate indirect range restriction.

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>.

Jeffrey A. Dahlke

psychmeta

Psychometric Meta-Analysis Toolkit

Brenton M. Wiernik

Wesley Gardiner

Michael T. Brannick

Jack Kostal

Sean Potter

John Sakaluk

Yuejia (Mandy) Teng

.lambda_bvirr function

<dl><dt>ux</dt>
<dd>Vector of observed-score u ratios for X.</dd>
<dt>uy</dt>
<dd>Vector of observed-score u ratios for Y.</dd>
<dt>sign_rxz</dt>
<dd>Sign of the relationship between X and the selection mechanism.</dd>
<dt>sign_ryz</dt>
<dd>Sign of the relationship between Y and the selection mechanism.</dd></dl>

Arguments

Internal function to produce lambda coefficients to use in the Case V correction for bivariate indirect range restriction. — .lambda_bvirr

<dl>

<dt>ux</dt>
<dd>Vector of observed-score u ratios for X.</dd>


<dt>uy</dt>
<dd>Vector of observed-score u ratios for Y.</dd>


<dt>sign_rxz</dt>
<dd>Sign of the relationship between X and the selection mechanism.</dd>


<dt>sign_ryz</dt>
<dd>Sign of the relationship between Y and the selection mechanism.</dd>

</dl>

Internal function to produce lambda coefficients to use in the Case V correction for bivariate indirect range restriction.

.lambda_bvirr: Internal function to produce lambda coefficients to use in the Case V correction for bivariate indirect range restriction.

Description

Usage

Value

Arguments

References