Multidimensional Item Response Models
Multidimensional Item Response Models is a class of statistical models within item response theory that extends unidimensional models by simultaneously measuring multiple latent traits, thereby capturing the distinct contributions of each trait to item responses through dimension-specific item parameters.
533
Publications
47K
Citations
970
Authors
455
Institutions
Publications per year
2017–2026
140
533
1–5 of 533
970
13
h-index
12
h-index
Education University of Hong Kong, Hong Kong SAR China
11 publications · 1.5K citations
11
h-index
University of North Carolina at Greensboro, United States
10 publications · 2K citations
10
h-index
10
h-index
1–5 of 970
455
Educational Testing Service
Princeton, United States
25 h-index
55 publications
5.6K citations
University of California, Berkeley
Berkeley, United States
14 h-index
17 publications
1.8K citations

University of Minnesota
Minneapolis, United States
14 h-index
21 publications
1.5K citations
KU Leuven
Leuven, Belgium
14 h-index
20 publications
674 citations
University of Illinois Urbana-Champaign
Urbana, United States
14 h-index
21 publications
1.3K citations
University of California, Los Angeles
Los Angeles, United States
12 h-index
20 publications
4K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
11 h-index
12 publications
534 citations
Michigan State University
East Lansing, United States
11 h-index
20 publications
719 citations
1–8 of 455
86 publications · 7.9K citations
42
h-index
38 publications · 4.8K citations
28
h-index
35 publications · 1.5K citations
22
h-index
29 publications · 1.7K citations
20
h-index
MBR · 22 publications · 1.4K citations
18
h-index
1–5