Hierarchical Model Comparison is a formal statistical methodology that belongs to the class of model comparison techniques, distinguished by its systematic evaluation of nested models through the imposition of hierarchical constraints to assess improvements in fit with additional parameters.
106
Publications
26.9K
Citations
284
Authors
174
Institutions
Publications per year
2017–2026
32
Parents
Publications
106
Bayesian analysis of factorial designs.
Jeffrey N. Rouder, Richard D. Morey, Josine Verhagen et al. · Psychological Methods · 2016 · 371 citations
1–5 of 106
Authors
284
- QF
3
h-index
- SL
3
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- EW
3
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- DM
3
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- UB
2
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1–5 of 284
Institutions
174
University of Amsterdam
Amsterdam, The Netherlands
5 h-index
21 publications
3.4K citations
UNSW Sydney
Sydney, Australia
4 h-index
5 publications
208 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
198 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
3 publications
127 citations
University of Maryland, College Park
College Park, United States
3 h-index
4 publications
211 citations
Florida State University
Tallahassee, United States
3 h-index
4 publications
332 citations
KU Leuven
Leuven, Belgium
3 h-index
6 publications
148 citations
Columbia University
New York, United States
2 h-index
3 publications
207 citations
1–8 of 174
Venues
- Journal of the American Statistical Association
3 publications · 634 citations
3
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- Psychological Bulletin
3 publications · 20.3K citations
3
h-index
- The American Statistician
3 publications · 152 citations
3
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- NeuroImage
2 publications · 132 citations
2
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- Evolution
2 publications · 224 citations
2
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