Local Dependence Modeling
Local Dependence Modeling is a methodological framework within Bayesian Item Response Theory that accounts for residual dependencies among items by introducing additional latent variables or covariance structures, thereby relaxing the assumption of conditional independence given the latent trait.
199
Publications
19.1K
Citations
390
Authors
224
Institutions
Publications per year
2017–2026
35
199
Multivariate Models and Dependence Concepts.
Trevor J. Ringrose, Harry Joe · Biometrics · 1998 · 3.5K citations
The Optimality of Naive Bayes.
Harry Zhang · 2004 · 1.4K citations
Karl Bang Christensen, Guido Makransky, Mike Horton · Applied Psychological Measurement · 2016 · 700 citations · Full text
Education, Educational Measurement, Item Response Theory +16
1–5 of 199
390
University of North Carolina at Chapel Hill, United States
7 publications · 1.2K citations
7
h-index
6
h-index
5
h-index
5
h-index
4
h-index
1–5 of 390
224
Educational Testing Service
Princeton, United States
10 h-index
22 publications
1.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
19 publications
1.5K citations
University of Copenhagen
Copenhagen, Denmark
7 h-index
11 publications
2K citations

Tilburg University
Tilburg, The Netherlands
5 h-index
7 publications
562 citations
University of Southern California
Los Angeles, United States
5 h-index
5 publications
354 citations
University of Bergen
Bergen, Norway
5 h-index
8 publications
1.1K citations

Rice University
Houston, United States
4 h-index
7 publications
254 citations
University of California, Berkeley
Berkeley, United States
4 h-index
6 publications
202 citations
1–8 of 224
14 publications · 2K citations
12
h-index
10 publications · 362 citations
10
h-index
10 publications · 1.2K citations
10
h-index
5 publications · 161 citations
5
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5 publications · 1.2K citations
5
h-index
1–5