Group Mean Comparisons

Group Mean Comparisons is a statistical method within latent variable modeling that involves the estimation and testing of differences in latent construct means across distinct observed groups, distinguished from other comparative methods by its focus on invariance-constrained measurement models to ensure meaningful cross-group interpretations.

1K

Publications

64.2K

Citations

3.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

229

Authors

3.3K

  1. RR
    Rand R. Wilcox

    University of Southern California, United States

    7 publications · 162 citations

    7

    h-index

  2. WH
    W. Holmes Finch

    Ball State University, United States

    6 publications · 197 citations

    6

    h-index

  3. AR
    Alexander Robitzsch

    Leibniz Institute for Science and Mathematics Education, Germany

    5 publications · 108 citations

    5

    h-index

  4. FM
    Frederic M. Lord

    Educational Testing Service, United States

    4 publications · 817 citations

    4

    h-index

  5. SE
    Scott E. Maxwell

    University of Notre Dame, United States

    4 publications · 513 citations

    4

    h-index

1–5 of 3.3K

Venues

  1. PubMed

    Repository · 32 publications · 1.3K citations

    18

    h-index

  2. Psychological Bulletin

    11 publications · 1.5K citations

    11

    h-index

  3. Educational and Psychological Measurement

    10 publications · 394 citations

    10

    h-index

  4. Perceptual and Motor Skills

    10 publications · 331 citations

    10

    h-index

  5. Assessment

    ASM · 8 publications · 269 citations

    8

    h-index

1–5