Multilevel Generalizability Analysis
Multilevel Generalizability Analysis is a methodological framework in D-Study Design that extends generalizability theory by simultaneously evaluating measurement consistency across multiple nested or crossed facets, thereby enabling the assessment of score dependability at differing levels of a hierarchical data structure.
9
Publications
288
Citations
26
Authors
17
Institutions
Publications per year
2017–2026
2
Parents
9
1–5 of 9
26
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h-index
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1–5 of 26
17
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
47 citations
University of Washington
Seattle, United States
1 h-index
6 publications
378 citations
Yonsei University
Seoul, South Korea
1 h-index
3 publications
78 citations
Public Health Ontario
Toronto, Canada
1 h-index
1 publications
10 citations
Brigham Young University
Provo, United States
1 h-index
1 publications
63 citations
NHS Lothian
Edinburgh, United Kingdom
1 h-index
1 publications
10 citations
Health Sciences Centre
Winnipeg, Canada
1 h-index
1 publications
10 citations
National Center for PTSD
Honolulu, United States
1 h-index
1 publications
63 citations
1–8 of 17
1 publications · 63 citations
1
h-index
1 publications · 59 citations
1
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1 publications · 24 citations
1
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1 publications · 21 citations
1
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1 publications · 50 citations
1
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1–5