Mixed Model Generalizability Theory: A Case Study and Tutorial

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Titel: Mixed Model Generalizability Theory: A Case Study and Tutorial
Sprache: English
Autoren: Alan Huebner, Gustaf B. Skar, Mengchen Huang
Quelle: Practical Assessment, Research & Evaluation. 2025 30.
Verfügbarkeit: University of Massachusetts Amherst Libraries. 154 Hicks Way, Amherst, MA 01003. e-mail: pare@umass.edu; Web site: https://openpublishing.library.umass.edu/pare/
Peer Reviewed: Y
Page Count: 15
Publikationsdatum: 2025
Intended Audience: Practitioners
Publikationsart: Journal Articles
Reports - Research
Descriptors: Generalizability Theory, Multivariate Analysis, Statistical Analysis, Writing Evaluation, Reliability
ISSN: 1531-7714
Abstract: Generalizability theory is a modern and powerful framework for conducting reliability 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 generalizability theory settings. The analyses feature a real data set, which is available to readers along with the code to reproduce all analyses.
Abstractor: As Provided
Entry Date: 2025
Dokumentencode: EJ1482037
Datenbank: ERIC
Beschreibung
Abstract:Generalizability theory is a modern and powerful framework for conducting reliability 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 generalizability theory settings. The analyses feature a real data set, which is available to readers along with the code to reproduce all analyses.
ISSN:1531-7714