Article
Authors: Alan Huebner (University of Notre Dame) , Gustaf B. Skar (Norwegian University of Science and Technology) , Mengchen Huang (Insights @ Riot Games)
Generalizabilty theory is a modern and powerful framework for conducting reliabiltiy analyses. It is flexible to accommodate both random and fixed facets. However, there has been a relative scarcity in the practical literature on how to handle the fixed facet case. This article aims to provide practitioners a conceptual understanding and computational resources to deal with designs with a fixed facet in both univariate and multivariate generalizabilty theory settings. The analyses feature a real data set, which is available to readers along with the code to reproduce all analyses.
Keywords: reliability, generalizability theory
How to Cite: Huebner, A. , Skar, G. B. & Huang, M. (2025) “Mixed Model Generalizability Theory: A Case Study and Tutorial”, Practical Assessment, Research, and Evaluation. 30(1). doi: https://doi.org/10.7275/pare.2376