Model Fit Comparison

Model Fit Comparison is a statistical evaluation method used in confirmatory factor analysis to assess the degree to which a measurement model remains consistent across different groups or time points by comparing the relative adequacy of nested models when testing for metric invariance.

572

Publications

100.6K

Citations

2K

Authors

866

Institutions

Publications per year

2017–2026

228

Authors

2K

  1. DS
    Dexin Shi

    University of South Carolina, United States

    8 publications · 1.8K citations

    8

    h-index

  2. DM
    Daniel McNeish

    Arizona State University, United States

    7 publications · 316 citations

    7

    h-index

  3. MG
    Melissa Gordon Wolf

    University of California, Santa Barbara, United States

    6 publications · 285 citations

    6

    h-index

  4. AM
    Alberto Maydeu‐Olivares

    Universitat de Barcelona, Spain

    6 publications · 1.4K citations

    6

    h-index

  5. CD
    Christine DiStefano

    University of South Carolina, United States

    6 publications · 1.5K citations

    6

    h-index

1–5 of 2K

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 30 publications · 7.5K citations

    24

    h-index

  2. Frontiers in Psychology

    17 publications · 537 citations

    16

    h-index

  3. Educational and Psychological Measurement

    19 publications · 2.1K citations

    15

    h-index

  4. Multivariate Behavioral Research

    MBR · 13 publications · 3.1K citations

    13

    h-index

  5. PLoS ONE

    12 publications · 617 citations

    11

    h-index

1–5