Configural Invariance

Configural Invariance is a form of measurement model equivalence in confirmatory factor analysis indicating that the same factor structure is shared across groups or occasions, serving as the minimal condition for valid cross-group comparisons.

2K

Publications

429.6K

Citations

5.2K

Authors

1.8K

Institutions

Publications per year

2017–2026

508

Authors

5.2K

  1. HW
    Herbert W. Marsh

    Western Sydney University, Australia

    32 publications · 13.4K citations

    28

    h-index

  2. RE
    Roger E. Millsap

    Arizona State University, United States

    15 publications · 2.4K citations

    15

    h-index

  3. BM
    Barbara M. Byrne

    University of Ottawa, Canada

    14 publications · 6.5K citations

    14

    h-index

  4. BM
    Bengt Muthén

    University of California, Los Angeles, United States

    12 publications · 8K citations

    12

    h-index

  5. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    15 publications · 106.3K citations

    12

    h-index

1–5 of 5.2K

Venues

  1. Psychometrika

    96 publications · 47.8K citations

    50

    h-index

  2. Educational and Psychological Measurement

    90 publications · 7.7K citations

    45

    h-index

  3. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 64 publications · 141.6K citations

    43

    h-index

  4. Multivariate Behavioral Research

    MBR · 59 publications · 23.7K citations

    39

    h-index

  5. Psychological Assessment

    46 publications · 13.7K citations

    33

    h-index

1–5