Industrial and Organizational Psychology, Perspectives on Science and Practice
This commentary revisits the debate between situational specificity and validity generalization in selection contexts. It argues that contextual differences may meaningfully affect validity estimates and should not be dismissed as artifacts. The piece encourages more nuanced thinking about how job-specific factors interact with generalizable validity evidence.
The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation
This encyclopedia entry explains the correction for attenuation, a statistical adjustment that estimates true correlations by accounting for measurement error. It describes the formula, assumptions, and criticisms, noting potential misuse when reliability estimates are inaccurate. The entry provides guidance for researchers on when and how to apply the correction responsibly.
Industrial and Organizational Psychology, Perspectives on Science and Practice
This article reviews the history of psychometric corrections, especially attenuation and range restriction, and cautions against their uncritical application. It highlights controversies surrounding inflated validity estimates and violations of underlying assumptions. The work underscores the importance of careful methodological judgment when applying statistical adjustments.
Organizational Research Methods
This article introduces new statistics for assessing temporal consistency beyond traditional test–retest reliability. It demonstrates how item-level information, interitem correlations, and component structures can reveal instability that test-level metrics may overlook. The methods provide richer diagnostic tools for test developers and researchers evaluating longitudinal measurement.
Organizational Research Methods
This article critiques how organizational researchers often oversimplify citations of meta-analyses, reducing them to evidence of a basic relationship. It documents widespread neglect of effect size magnitude, heterogeneity, and methodological nuance. The work calls for more accurate and sophisticated interpretation to fully leverage meta-analytic evidence.
Organizational Research Methods
This piece offers best-practice recommendations for reviewers evaluating meta-analyses in organizational research. It highlights common shortcomings in transparency and replicability, from search and coding to reporting effect sizes and moderators. A reviewer checklist is provided to encourage higher standards and improve the quality of cumulative evidence.
Organizational Research Methods
This article introduces joint variance as an often-overlooked explanatory component in regression models. It shows how predictors can share variance in explaining outcomes, revealing substantive relationships missed when focusing only on unique effects. The approach provides new ways to interpret predictor interdependencies in behavioral research.