Multivariate Generalizability Analysis
Multivariate Generalizability Analysis is a statistical methodology within generalizability theory that extends univariate approaches by simultaneously assessing the reliability and sources of measurement error across multiple dependent variables or facets in a single study design.
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2.3K
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110
Authors
68
Institutions
Publications per year
2017–2026
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Parents
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Brian Lakey, Edward Orehek, Kate L. Hain et al. · Personality and Social Psychology Bulletin · 2009 · 196 citations
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National Board of Medical Examiners
Philadelphia, United States
5 h-index
11 publications
377 citations
University of Iowa
Iowa City, United States
4 h-index
6 publications
213 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
312 citations
Jiangxi University of Finance and Economics
Nanchang, China
2 h-index
2 publications
43 citations
South China Normal University
Guangzhou, China
2 h-index
8 publications
172 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
4 publications
63 citations

University of Alberta
Edmonton, Canada
2 h-index
2 publications
60 citations
Maastricht University
Maastricht, The Netherlands
2 h-index
6 publications
488 citations
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5 publications · 123 citations
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4 publications · 132 citations
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3 publications · 349 citations
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2 publications · 33 citations
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2 publications · 143 citations
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