Model Equivalence Analysis

Model Equivalence Analysis is a formal methodological framework used in model formulation that identifies and establishes the conditions under which distinct computational or mathematical models produce equivalent predictions, behaviors, or representational structures despite differences in their parametrization, architecture, or assumed mechanisms.

81

Publications

4.9K

Citations

202

Authors

123

Institutions

Publications per year

2017–2026

19

Authors

202

  1. TR
    Tenko Raykov

    Michigan State University, United States

    4 publications · 202 citations

    4

    h-index

  2. FD
    Feng Ding

    Jiangnan University, China

    3 publications · 78 citations

    3

    h-index

  3. DM
    Dandan Meng

    Hainan University, China

    3 publications · 78 citations

    3

    h-index

  4. RL
    Roy Levy

    Arizona State University, United States

    2 publications · 57 citations

    2

    h-index

  5. GA
    George A. Marcoulides

    California State University, Fullerton, United States

    2 publications · 105 citations

    2

    h-index

1–5 of 202

Venues

  1. Multivariate Behavioral Research

    MBR · 5 publications · 377 citations

    5

    h-index

  2. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 3 publications · 115 citations

    3

    h-index

  3. IEEE Transactions on Automatic Control

    3 publications · 198 citations

    3

    h-index

  4. Dialnet (Universidad de la Rioja)

    Repository · 2 publications · 47 citations

    2

    h-index

  5. 2

    h-index

1–5