Work

Mixed Model Generalizability Theory: A Case Study and Tutorial

Year: 2025

Type: article

Abstract: 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.

Source: Practical assessment, research & evaluation

DOI: 10.7275/pare.2376

Authors: Alan Huebner, Gustaf Bernhard Uno Skar, Mengchen Huang

Institution: University of Notre Dame

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W6902857676

FWCI:

Cites:

Cited by:

Related to: