Multilevel Modeling

Modeling Response Styles in Cross-Classified Data Using a Cross-Classified Multidimensional Nominal Response Model

Abstract In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and …

The Accuracy of Bayesian Model Fit Indices in Selecting Among Multidimensional Item Response Theory Models

Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the …

Multilevel mediation analysis in R: A comparison of bootstrap and Bayesian approaches

Mediation analysis in repeated measures studies can shed light on the mechanisms through which experimental manipulations change the outcome variable. However, the literature on interval estimation for the indirect effect in the 1-1-1 single mediator …

Modeling Response Styles in Cross-Country Self-Reports: An Application of a Multilevel Multidimensional Nominal Response Model

We examined the feasibility and results of a multilevel multidimensional nominal response model (ML-MNRM) for measuring both substantive constructs and extreme response style (ERS) across countries. The ML-MNRM considers within-country clustering …