![]() Nonetheless, many of them revert to regression-based approaches, such as moderated multiple regression (MMR), when testing for moderating and other nonlinear effects. Most organizational researchers understand the detrimental effects of measurement errors in testing relationships among latent variables and hence adopt structural equation modeling (SEM) to control for measurement errors. Testing Moderation in Business and Psychological Studies with Latent Moderated Structural Equations Limitations and future directions are discussed. Beyond providing an off-the-shelf compendium of validated single-item measures, we abstract our validation steps providing a roadmap to replicate and build upon. Results suggest that there is no relationship between subject matter expert evaluations of construct breadth and reliability and validity evidence collected across the first four studies. Finally, in study 5, we empirically examined the argument that only conceptually narrow constructs can be reliably and validly assessed with single-item measures. Collectively, 75 of the 91 focal measures demonstrated very good or extensive validity, evidencing moderate to high content validity, no usability concerns, moderate to high test–retest reliability, and extensive criterion validity. In study 4, we examined issues of construct and criterion validity using a multi-trait, multi-method approach. Study 3 provides evidence for the reliability of the proposed single-item measures based on test–retest reliabilities across the three temporal conditions (1 day, 2 weeks, 1 month). In study 2, based on a heterogeneous sample of working adults, we demonstrate that the majority of single-item measures examined demonstrated little to no comprehension or usability concerns. In study 1, across 91 selected constructs, 71.4% of the single-item measures demonstrated strong if not very strong definitional correspondence (as a measure of content validity). Based on a large-scale evidence-based approach, we empirically examined the degree to which various constructs in the organizational sciences can be reliably and validly assessed with a single item. The application of single-item measures has the potential to help applied researchers address conceptual, methodological, and empirical challenges. Matthews, Laura Pineault, Yeong-Hyun Hong ![]() Normalizing the Use of Single-Item Measures: Validation of the Single-Item Compendium for Organizational Psychology ![]() The following five articles are a special collection from Journal of Business and Psychology currently free access until September 30th, 2022. ![]()
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