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This article provides a review of the approach that James used when conducting item analyses on his conditional reasoning test items. That approach was anchored in classical test theory. Our articl...

Organizational scholars frequently rely on experiments using human confederates or descriptions of vignette characters to study a range of phenomena. Although experiments with confederates allow fo...

From Nuisance to Novel Research Questions: Using Multilevel Models to Predict Heterogeneous Variances:

Constructs that reflect differences in variability are of interest to many researchers studying workplace phenomena. The aggregation methods typically used to investigate “variability-based” constr...

Croon’s Bias-Corrected Factor Score Path Analysis for Small- to Moderate-Sample Multilevel Structural Equation Models:

Maximum likelihood estimation of multilevel structural equation model (MLSEM) parameters is a preferred approach to probe theories involving latent variables in multilevel settings. Although maximu...

On Ignoring the Random Effects Assumption in Multilevel Models: Review, Critique, and Recommendations:

Entities such as individuals, teams, or organizations can vary systematically from one another. Researchers typically model such data using multilevel models, assuming that the random effects are u...

Topic Modeling as a Strategy of Inquiry in Organizational Research: A Tutorial With an Application Example on Organizational Culture:

Research has emphasized the limitations of qualitative and quantitative approaches to studying organizational phenomena. For example, in-depth interviews are resource-intensive, while questionnaire...

An Integrative Methodology for Organizational Oppositions: Aligning Grounded Theory and Discourse Analysis

The study of organizational tensions, contradictions, dialectics, and paradoxes is on the rise in the organizational sciences. This article sets forth an integrative methodology for studying these oppositional phenomena by aligning grounded theory techniques with the little “d” and big “D” orientations of organizational discourse analysis. This integrative methodology not only aids in identifying and determining various types of organizational oppositions and responses to them, but also fosters ...

Correlation-Based Meta-Analytic Structural Equation Modeling: Effects of Parameter Covariance on Point and Interval Estimates

More and more researchers use meta-analysis to conduct multivariate analysis to summarize previous findings. In the correlation-based meta-analytic structural equation modeling (cMASEM), the average sample correlation matrix is used to estimate the average population model. Using a simple mediation model, we illustrated that random effects covariation in population parameters can theoretically bias the path coefficient estimates and lead to nonnormal random effects distribution of the correlatio...

This paper evaluates how researchers are currently citing meta-analytic results and provides specific recommendations for interpreting the information provided by meta-analysis (MA). The past four decades have seen a proliferation of MA research across the organizational sciences and myriad improvements to how MA is conducted. MAs are cited more frequently than individual primary studies and have a substantial influence on subsequent research and theorizing. Yet the consumption of meta-analytic ...

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