Longitudinal Factor Structure
Longitudinal Factor Structure is a measurement model that specifies the stability of latent factor configurations across multiple time points, distinguishing itself from cross-sectional counterparts by explicitly capturing temporally invariant factor loadings, intercepts, and error structures to enable valid longitudinal comparison.
1.6K
Publications
121.9K
Citations
5.4K
Authors
1.7K
Institutions
Publications per year
2017–2026
322
1.6K
Kim L. Gratz, Lizabeth Roemer · Journal of Psychopathology and Behavioral Assessment · 2003 · 8.7K citations
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Pennsylvania State University
State College, United States
20 h-index
50 publications
3.5K citations
Harvard University
Cambridge, United States
18 h-index
44 publications
2.9K citations
University of Washington
Seattle, United States
18 h-index
33 publications
1.8K citations
University of California, Los Angeles
Los Angeles, United States
16 h-index
20 publications
2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
16 h-index
37 publications
3.7K citations
Yale University
New Haven, United States
16 h-index
31 publications
2.3K citations
The Ohio State University
Columbus, United States
16 h-index
25 publications
1.2K citations
Maastricht University
Maastricht, The Netherlands
15 h-index
39 publications
5.8K citations
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79 publications · 6.9K citations
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57 publications · 5.6K citations
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37 publications · 11.6K citations
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31 publications · 1.5K citations
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