# Implications of direct and indirect range restriction for meta-analysis methods and findings.

@article{Hunter2006ImplicationsOD, title={Implications of direct and indirect range restriction for meta-analysis methods and findings.}, author={John Edward Hunter and Frank L. Schmidt and Huy Le}, journal={The Journal of applied psychology}, year={2006}, volume={91 3}, pages={ 594-612 } }

Range restriction in most data sets is indirect, but the meta-analysis methods used to date have applied the correction for direct range restriction to data in which range restriction is indirect. The authors show that this results in substantial undercorrections for the effects of range restriction, and they present meta-analysis methods for making accurate corrections when range restriction is indirect. Applying these methods to a well-known large-sample empirical database, the authors… Expand

#### 255 Citations

Correcting for indirect range restriction in meta-analysis: testing a new meta-analytic procedure.

- Mathematics, Medicine
- Psychological methods
- 2006

Using computer simulation, the authors assessed the accuracy of J. L. Le's (2006) procedure for correcting for indirect range restriction in comparison with the conventional practice of applying the Thorndike Case II correction for direct range restriction. Expand

Increasing the Accuracy of Corrections for Range Restriction: Implications for Selection Procedure Validities and Other Research Results

- Mathematics
- 2006

The common practice in meta-analyses and in individual studies of correcting for direct range restriction even though range restriction is actually indirect has long been known to lead to… Expand

Testing the generalizability of indirect range restriction corrections.

- Psychology, Medicine
- The Journal of applied psychology
- 2014

It is concluded that Hunter et al.'s correction should generally be preferred when compared to its common alternative, Thorndike's Case II correction for direct range restriction, due to the likely violation of one of the other assumptions of theHunter et al. correction. Expand

Not Restricted to Selection Research: Accounting for Indirect Range Restriction in Organizational Research

- Organizational Research Methods
- 2019

Range restriction is a common problem in organizational research and is an important statistical artifact to correct for in meta-analysis. Historically, researchers have had to rely on… Expand

A Comparison of Three Approaches to Correct for Direct and Indirect Range Restrictions: A Simulation Study.

- Mathematics
- 2016

A common methodological problem in the evaluation of the predictive validity of selection methods, e.g. in educational and employment selection, is that the correlation between predictor and… Expand

Moving Forward Indirectly: Reanalyzing the Validity of Employment Interviews with Indirect Range Restriction Methodology

- Mathematics
- 2014

This study provides updated estimates of the criterion‐related validity of employment interviews, incorporating indirect range restriction methodology. Using a final dataset of 92 coefficients (N =… Expand

A Missing Data Approach to Correct for Direct and Indirect Range Restrictions with a Dichotomous Criterion: A Simulation Study

- Computer Science, Medicine
- PloS one
- 2016

This work argues for the use of multiple imputation by chained equations in the evaluation of the predictive validity of selection methods when the criterion is dichotomous by viewing the range restriction problem as a missing data mechanism. Expand

How to do a meta-analysis.

- Computer Science, Medicine
- The British journal of mathematical and statistical psychology
- 2010

The process of conducting meta-analysis is described: selecting articles, developing inclusion criteria, calculating effect sizes, conducting the actual analysis (including information on how to do the analysis on popular computer packages such as IBM SPSS and R) and estimating the effects of publication bias. Expand

Correction for Range Restriction in Meta-Analysis Revisited: Improvements and Implications for Organizational Research

- Mathematics
- 2015

In the current study, we present a more accurate method for correcting for range restriction (Case V) that expands upon Bryant and Gokhale’s (1972) method. We further present detailed steps to… Expand

Obtaining Unbiased Results in Meta-Analysis: The Importance of Correcting for Statistical Artifacts

- Computer Science
- 2020

This article describes how to estimate the effects of measurement error variance and selection effects in different research designs and correct for their impacts in primary studies and meta-analyses, and provides R code to implement the corrections described. Expand

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