Ordinal Longitudinal Models
Ordinal Longitudinal Model is a statistical model designed for analyzing repeated categorical measurements with ordered categories over time, distinguished by its incorporation of temporal dependence and subject-specific random effects to account for within-subject correlation in longitudinal data.
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6.2K
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308
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201
Institutions
Publications per year
2017–2026
15
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Distinguishing ordinal and disordinal interactions.
Keith F. Widaman, Jonathan L. Helm, Laura Castro‐Schilo et al. · Psychological Methods · 2012 · 224 citations
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University of Illinois Chicago
Chicago, United States
9 h-index
20 publications
911 citations
Harvard University
Cambridge, United States
7 h-index
7 publications
374 citations
KU Leuven
Leuven, Belgium
7 h-index
11 publications
545 citations

Hasselt University
Hasselt, Belgium
5 h-index
8 publications
153 citations

Pennsylvania State University
State College, United States
4 h-index
9 publications
347 citations
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
261 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
5 publications
237 citations
Shahid Beheshti University
Tehran, Iran
4 h-index
8 publications
104 citations
1–8 of 201
15 publications · 461 citations
13
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12 publications · 825 citations
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9 publications · 512 citations
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CSDA · 7 publications · 300 citations
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4 publications · 89 citations
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