Making Multimethod Latent State-Trait Models for Random and Fixed Situations Accessible: A Tutorial.

ABSTRACT:

Objective

As more researchers employ longitudinal research designs, which integrate multiple methods and multiple (fixed) situations, the need for appropriate analytical methods arises.

Method

Multimethod latent state-trait models for random and fixed situations (MM-LST-RF; Hintz et al. 2019) provide a means with which person characteristics, (fixed) situation, and method effects, as well as their interactions can be studied. While these models are very versatile, their complexity poses a significant hurdle to their implementation.

Results

This tutorial helps facilitate the application of MM-LST-RF models. First, we present two simpler methodological approaches in which the full MM-LST-RF model is broken down into its (a) multimethod and (b) random and fixed situation

SUBMITTER: Tinhof DL 

PROVIDER: S-EPMC12421706 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature