Multidimensional Model Fit
Multidimensional Model Fit is a formal assessment framework that evaluates the degree to which a statistical model simultaneously captures multiple latent dimensions or constructs in relation to observed data, distinguishing itself from unidimensional fit approaches by accounting for interdependent, non-redundant sources of model variation.
458
Publications
30.8K
Citations
4.4K
Authors
908
Institutions
Publications per year
2017–2026
135
Parents
458
Dimensional analysis and theory of models
Otto Spies · Journal of the Franklin Institute · 1952 · 665 citations
1–5 of 458
4.4K
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Pontificia Universidad Católica Madre y Maestra, Dominican Republic
4 publications · 304 citations
4
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4
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4
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1–5 of 4.4K
908
Florida State University
Tallahassee, United States
9 h-index
15 publications
646 citations

University of British Columbia
Vancouver, Canada
9 h-index
16 publications
812 citations

University of North Texas
Denton, United States
8 h-index
12 publications
1.5K citations

Lund University
Lund, Sweden
6 h-index
20 publications
543 citations

The University of Melbourne
Melbourne, Australia
6 h-index
23 publications
679 citations

The University of Sydney
Sydney, Australia
6 h-index
16 publications
520 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
29 publications
1.1K citations
Arizona State University
Tempe, United States
6 h-index
13 publications
1.3K citations
1–8 of 908
17 publications · 1.6K citations
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9 publications · 545 citations
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ASM · 9 publications · 1.6K citations
9
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7 publications · 226 citations
7
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6 publications · 409 citations
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