Multi-group Invariance Testing

Multi-Group Invariance Testing is a statistical methodology within structural equation modeling that assesses the equivalence of measurement parameters across distinct groups to determine whether latent constructs exhibit invariant properties under varying subgroup conditions.

312

Publications

37.7K

Citations

778

Authors

420

Institutions

Publications per year

2017–2026

101

Variants

Multi-group Invariance Analysis

Authors

778

  1. BM
    Barbara M. Byrne

    University of Ottawa, Canada

    12 publications · 3.3K citations

    11

    h-index

  2. CV
    Conor V. Dolan

    University of Amsterdam, Netherlands

    6 publications · 405 citations

    6

    h-index

  3. KD
    Kim De Roover

    KU Leuven, Belgium

    6 publications · 239 citations

    6

    h-index

  4. EK
    Eunsook Kim

    University of South Florida, United States

    5 publications · 161 citations

    5

    h-index

  5. JM
    Jelte M. Wicherts

    Tilburg University, Netherlands

    5 publications · 272 citations

    5

    h-index

1–5 of 778

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 19 publications · 4K citations

    17

    h-index

  2. Frontiers in Psychology

    14 publications · 894 citations

    13

    h-index

  3. Educational and Psychological Measurement

    12 publications · 1.3K citations

    12

    h-index

  4. Multivariate Behavioral Research

    MBR · 7 publications · 550 citations

    7

    h-index

  5. Psychometrika

    7 publications · 664 citations

    7

    h-index

1–5