Multifacet Generalizability Analysis
Multifacet Generalizability Analysis is a psychometric framework within error variance decomposition that extends generalizability theory by simultaneously accounting for multiple sources of measurement error variance arising from crossed and nested facets, such as raters, occasions, items, and domains, to assess the dependability of scores across diverse testing conditions.
6
Publications
296
Citations
10
Authors
7
Institutions
Publications per year
2017–2026
0
Parents
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University of Illinois System
Urbana, United States
1 h-index
3 publications
450 citations
University of Iowa
Iowa City, United States
1 h-index
1 publications
41 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
3 publications
450 citations

Molde University College
Molde, Norway
1 h-index
1 publications
12 citations
United Arab Emirates University
Al Ain, United Arab Emirates
1 h-index
1 publications
50 citations

California State University, Fullerton
Fullerton, United States
1 h-index
1 publications
18 citations
University of Northern British Columbia
Prince George, Canada
1 h-index
1 publications
25 citations

University of British Columbia
Vancouver, Canada
1 publications
10 citations
1–8 of 7
1 publications · 150 citations
1
h-index
1 publications · 50 citations
1
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1 publications · 41 citations
1
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1 publications · 18 citations
1
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1 publications · 25 citations
1
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