Facet-specific Variance Components
Facet-Specific Variance Components is a variance decomposition method in multifacet generalizability theory that quantifies the proportion of measurement error and systematic variability attributable to each specific facet—such as raters, occasions, or items—within a multi-faceted assessment design.
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Publications
849
Citations
28
Authors
19
Institutions
Publications per year
2017–2026
3
Parents
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Using FACETS to model rater training effects
Sara Cushing Weigle · Language Testing · 1998 · 364 citations
Social Sciences, Human Resource Management, Psychometrics +9
Alexithymia profiles and depression, anxiety, and stress
David A. Preece, Ashish Mehta, Kate Petrova et al. · Journal of Affective Disorders · 2024 · 69 citations · Full text
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Colby College
Waterville, United States
2 h-index
2 publications
163 citations

University of Skövde
Skövde, Sweden
1 h-index
1 publications
69 citations

Eastern Mediterranean University
Famagusta, Cyprus
1 h-index
2 publications
34 citations
Islamic Azad University of Tabriz
Tabriz, Iran
1 h-index
1 publications
17 citations
National Board of Medical Examiners
Philadelphia, United States
1 h-index
3 publications
120 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
4 publications
424 citations
Georgia State University
Atlanta, United States
1 h-index
1 publications
364 citations

University of Turku
Turku, Finland
1 h-index
1 publications
69 citations
1–8 of 19
2 publications · 391 citations
2
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2 publications · 213 citations
2
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1 publications · 57 citations
1
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1 publications · 40 citations
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JGR · 1 publications · 24 citations
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