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

Authors

302

  1. OL
    Oliver Lüdtke

    Leibniz Institute for Science and Mathematics Education, Germany

    4 publications · 802 citations

    4

    h-index

  2. AR
    Alexander Robitzsch

    Leibniz Institute for Science and Mathematics Education, Germany

    4 publications · 802 citations

    4

    h-index

  3. SG
    Simon Grund

    Leibniz Institute for Science and Mathematics Education, Germany

    3 publications · 329 citations

    3

    h-index

  4. BM
    Bengt Muthén

    University of California, Los Angeles, United States

    3 publications · 773 citations

    3

    h-index

  5. RA
    Ralph A. Alexander

    University of Akron, United States

    2 publications · 90 citations

    2

    h-index

1–5 of 302

Venues

  1. Statistics in Medicine

    5 publications · 208 citations

    5

    h-index

  2. Psychological Methods

    5 publications · 1.1K citations

    5

    h-index

  3. Multivariate Behavioral Research

    MBR · 4 publications · 562 citations

    4

    h-index

  4. Behavior Research Methods

    BRM · 3 publications · 121 citations

    3

    h-index

  5. 3

    h-index

1–5