Measurement Invariance

Measurement invariance is a statistical property of measurement indicating that the factor structure and item parameters of an instrument remain equivalent across specified groups or time points, thereby ensuring the same latent construct is measured consistently.

4.5K

Publications

493.2K

Citations

12.8K

Authors

2.9K

Institutions

Publications per year

2017–2026

985

Authors

12.8K

  1. HW
    Herbert W. Marsh

    Western Sydney University, Australia

    41 publications · 13.3K citations

    37

    h-index

  2. BM
    Bengt Muthén

    University of California, Los Angeles, United States

    27 publications · 15K citations

    24

    h-index

  3. RE
    Roger E. Millsap

    Arizona State University, United States

    26 publications · 3.9K citations

    21

    h-index

  4. ED
    Eldad Davidov

    University of Zurich, Switzerland

    20 publications · 2.2K citations

    18

    h-index

  5. CV
    Conor V. Dolan

    University of Amsterdam, Netherlands

    22 publications · 1.2K citations

    17

    h-index

1–5 of 12.8K

Venues

  1. Psychometrika

    158 publications · 44.2K citations

    70

    h-index

  2. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 163 publications · 50K citations

    69

    h-index

  3. Educational and Psychological Measurement

    165 publications · 13.2K citations

    56

    h-index

  4. Multivariate Behavioral Research

    MBR · 102 publications · 14K citations

    55

    h-index

  5. Psychological Methods

    68 publications · 16.7K citations

    47

    h-index

1–5

See also

Measurement Invariance

Core Methods

Invariance Levels

Evaluation Criteria

Applications

Limitations