Partial Factor Invariance

Partial Factor Invariance is a measurement invariance condition in confirmatory factor analysis wherein equality constraints on factor loadings or intercepts are met for a subset of observed variables, allowing noninvariant parameters to vary across groups while preserving the interpretability of latent factor comparisons.

375

Publications

60.5K

Citations

1.2K

Authors

621

Institutions

Publications per year

2017–2026

109

Authors

1.2K

  1. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    6 publications · 306 citations

    6

    h-index

  2. RE
    Roger E. Millsap

    Arizona State University, United States

    5 publications · 942 citations

    5

    h-index

  3. JL
    John L. Horn

    University of Denver, United States

    4 publications · 1.9K citations

    4

    h-index

  4. RB
    Raymond B. Cattell

    University of Illinois Urbana-Champaign, United States

    4 publications · 101 citations

    4

    h-index

  5. BM
    Bengt Muthén

    University of California, Los Angeles, United States

    4 publications · 4.4K citations

    4

    h-index

1–5 of 1.2K

Venues

  1. Psychometrika

    26 publications · 7.1K citations

    22

    h-index

  2. Personality and Individual Differences

    13 publications · 1.3K citations

    13

    h-index

  3. Journal of Personality Assessment

    12 publications · 323 citations

    12

    h-index

  4. Educational and Psychological Measurement

    11 publications · 672 citations

    11

    h-index

  5. Psychological Assessment

    11 publications · 756 citations

    10

    h-index

1–5