Title
Correcting For Indirect Range Restriction In Meta-Analysis: Testing A New Meta-Analytic Procedure
Keywords
Measurement error correction; Meta-analysis; Monte Carlo simulation; Range restriction correction
Abstract
Using computer simulation, the authors assessed the accuracy of J. E. Hunter, F. L. Schmidt, and H. Le's (2006) procedure for correcting for indirect range restriction, the most common type of range restriction, in comparison with the conventional practice of applying the Thorndike Case II correction for direct range restriction. Hunter et al.'s procedure produced more accurate estimates of both the mean and standard deviation in meta-analysis than the conventional procedure. Even when its key assumption that the effect of selection on a 3rd variable is fully mediated by the independent variable was violated, Hunter et al.'s procedure was still relatively more accurate than the conventional procedure. When applied to data from a previously published meta-analysis, the new procedure yielded results that led to different substantive conclusions. © 2006 APA, all rights reserved.
Publication Date
12-1-2006
Publication Title
Psychological Methods
Volume
11
Issue
4
Number of Pages
416-438
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1037/1082-989X.11.4.416
Copyright Status
Unknown
Socpus ID
33845607648 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/33845607648
STARS Citation
Le, Huy and Schmidt, Frank L., "Correcting For Indirect Range Restriction In Meta-Analysis: Testing A New Meta-Analytic Procedure" (2006). Scopus Export 2000s. 7808.
https://stars.library.ucf.edu/scopus2000/7808