Multi-facet Generalizability Study
A Multi-Facet Generalizability Study is a type of measurement study within generalizability theory that systematically examines the relative contributions of multiple sources of variation—such as persons, raters, occasions, and items—to the overall variance in observed scores, in order to assess the dependability of measurements across diverse facets.
9
Publications
428
Citations
31
Authors
13
Institutions
Publications per year
2017–2026
2
Parents
9
1–5 of 9
31
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University of Missouri–Kansas City, United States
1 publications · 45 citations
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1–5 of 31
13

Vanderbilt University
Nashville, United States
1 h-index
4 publications
48 citations
Texas Christian University
Fort Worth, United States
1 h-index
2 publications
62 citations
University of Missouri–Kansas City
Kansas City, United States
1 h-index
1 publications
45 citations
California State University, Fresno
Fresno, United States
1 h-index
1 publications
15 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
2 publications
166 citations
Central Michigan University
Mount Pleasant, United States
1 h-index
2 publications
28 citations

University of Calgary
Calgary, Canada
1 h-index
2 publications
44 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
190 citations
1–8 of 13
RRI · 1 publications · 16 citations
1
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1 publications · 12 citations
1
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1 publications · 15 citations
1
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1 publications · 22 citations
1
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1 publications · 14 citations
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