Simulation-based Fit Evaluation

Simulation-Based Fit Evaluation is a methodological approach within model fit assessment that distinguishes itself by generating synthetic data from a hypothesized model to systematically compare observed and simulated data patterns for evaluating model adequacy.

28

Publications

9.9K

Citations

58

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

58

  1. MG
    Melissa Gordon Wolf

    University of California, Santa Barbara, United States

    3 publications · 450 citations

    3

    h-index

  2. DM
    Daniel McNeish

    Arizona State University, United States

    3 publications · 450 citations

    3

    h-index

  3. KA
    Kenneth A. Bollen

    University of North Carolina at Chapel Hill, United States

    2 publications · 4.5K citations

    2

    h-index

  4. RE
    Roger E. Millsap

    Arizona State University, United States

    2 publications · 160 citations

    2

    h-index

  5. GB
    Gunnar Brix

    Heidelberg University, Germany

    1 publications · 42 citations

    1

    h-index

1–5 of 58

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 8 publications · 728 citations

    7

    h-index

  2. Multivariate Behavioral Research

    MBR · 4 publications · 354 citations

    4

    h-index

  3. Sociological Methods & Research

    SMR · 3 publications · 7.1K citations

    3

    h-index

  4. 2

    h-index

  5. Ecological Modelling

    1 publications · 77 citations

    1

    h-index

1–5