Author

Esther Ulitzsch

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Open access Oct 2026

Understanding when mixture models effectively identify careless responding: Simulation and validity evidence

Careless and insufficient effort responding (C/IER) in self-report questionnaires refers to responses provided without adequate attention to item content. Latent variable mixture models have recently been proposed as a promising approach for detecting and accounting for C/IER. This study systematically evaluates the pe...

I. Uglanova, Gabriel Nagy, Esther Ulitzsch · Behavior Research Methods · 0 citations

Oct 2026

Idiographic Item Response Theory: Modeling Person-Specific Differential Item Functioning in Intensive Longitudinal Data.

Idiographic theories of psychological measurement emphasize that the relationships between item responses and a latent trait may vary across individuals, yet typical item response theory (IRT) models assume item parameters are constant across persons. We propose an IRT approach for modeling person-specific (idiographic...

Joshua B. Gilbert, Edward J. Kim, Zachary Himmelsbach et al. · Multivariate Behavioral Rese... · 0 citations

Open access Sep 2026

Bayesian Hierarchical Moderated Factor Analysis for Testing Measurement Invariance in Multilevel Data: Model Development, Simulation Studies, and Experience Sampling Application

Abstract Moderated Nonlinear Latent Factor Analysis (MNLFA) has been introduced as a flexible approach for testing measurement invariance among categorical and continuous covariates. Equipped with Bayesian shrinkage priors, MNLFA can handle large numbers of covariates and potentially invariant item parameters. The pres...

Julian F. Lohmann, Steffen Zitzmann, Martin Hecht et al. · 1 citation