Quantitative Psychology Commons^™

Mixed-Effects Location-Scale Models For Conditionally Normally Distributed Repeated-Measures Data, Ryan Walters

Department of Psychology: Dissertations, Theses, and Student Research

Hypotheses about psychological processes are most frequently dedicated to individual mean differences, but individual differences in variability are likely to be important as well. The mixed-effects location-scale model estimates individual differences in both mean level and variability in a single model, and represents an important advance in testing variability-related hypotheses. However, the mixed-effects location-scale model remains relatively novel to empirical scientists as statistical software is often handicapped by more complex models and a paucity of methodological studies exist examining the statistical properties of this model.

This dissertation investigates the mixed-effects location-scale model through the development of open-source software for its …