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École Supérieure de Commerce de Rennes
2021-2024
The University of Melbourne
2019-2021
Researchers often combine longitudinal panel data analysis with tests of interactions (i.e., moderation). A popular example is the cross-lagged model (CLPM). However, interaction in CLPMs and related models require caution because stable between-level, B) dynamic within-level, W) sources variation are present data, which can conflate estimates effects. We address this by integrating literature on CLPMs, multilevel moderation, latent interactions. Distinguishing B W parts, we describe three...
Cross-lagged panel models (CLPMs) are common, but their applications often focus on “short-run” effects among temporally proximal observations. This addresses questions about how dynamic systems may immediately respond to interventions, fails show evolve over longer timeframes. We explore three types of “long-run” in that extend recent work “impulse responses,” which reflect potential long-run one-time interventions. Going beyond these, we first treat evaluations system (in)stability by...
To model data from multi-item scales, many researchers default to a confirmatory factor analysis (CFA) approach that restricts cross-loadings and residual correlations zero. This often leads problems of measurement-model misfit while also ignoring theoretically relevant alternatives. Existing research mostly offers solutions by relaxing assumptions about allowing correlations. However, such approaches are critiqued as being weak on theory and/or indicative problematic measurement scales. We...
This .zip file contains all online appendices, Mplus program input and output, R code, as well other files relevant to the paper Long-Run Effects in Dynamic Systems: New Tools for Cross-Lagged Panel Models, published Organizational Research Methods.