Random Slopes Models
Random Slopes Models is a type of hierarchical linear model that allows the relationship between a predictor and an outcome variable to vary across groups by estimating group-specific slopes as random effects.
101
Publications
9.8K
Citations
302
Authors
195
Institutions
Publications per year
2017–2026
49
101
1–5 of 101
302
Leibniz Institute for Science and Mathematics Education, Germany
4 publications · 802 citations
4
h-index
Leibniz Institute for Science and Mathematics Education, Germany
4 publications · 802 citations
4
h-index
Leibniz Institute for Science and Mathematics Education, Germany
3 publications · 329 citations
3
h-index
3
h-index
2
h-index
1–5 of 302
195
Harvard University
Cambridge, United States
4 h-index
6 publications
524 citations
University of California, Davis
Davis, United States
4 h-index
4 publications
130 citations
University of Zurich
Zurich, Switzerland
4 h-index
4 publications
570 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
5 publications
127 citations
University of Oxford
Oxford, United Kingdom
3 h-index
4 publications
1.1K citations
The University of Texas at Austin
Austin, United States
3 h-index
3 publications
59 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
4 publications
949 citations
Leibniz Institute for Science and Mathematics Education
Kiel, Germany
3 h-index
8 publications
927 citations
1–8 of 195
5 publications · 208 citations
5
h-index
5 publications · 1.1K citations
5
h-index
MBR · 4 publications · 562 citations
4
h-index
BRM · 3 publications · 121 citations
3
h-index
3 publications · 104 citations
3
h-index
1–5