Structural Equation Modeling

Structural Equation Modeling is a multivariate statistical technique that specifies and tests hypothesized relationships among observed and latent variables through a system of simultaneous equations, distinguishing itself by its capacity to model complex constructs and measurement errors within a single integrated framework.

18.5K

Publications

3M

Citations

36.8K

Authors

6.8K

Institutions

Publications per year

2017–2026

7.5K

Authors

36.8K

  1. HW
    Herbert W. Marsh

    Western Sydney University, Australia

    128 publications · 41.9K citations

    79

    h-index

  2. CM
    Christian M. Ringle

    Universität Hamburg, Germany

    81 publications · 139.4K citations

    57

    h-index

  3. MS
    Marko Sarstedt

    Otto-von-Guericke-Universität Magdeburg, Germany

    72 publications · 151.4K citations

    55

    h-index

  4. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    93 publications · 186.3K citations

    53

    h-index

  5. BM
    Bengt Muthén

    University of California, Los Angeles, United States

    59 publications · 27.5K citations

    46

    h-index

1–5 of 36.8K

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 665 publications · 241.3K citations

    142

    h-index

  2. Multivariate Behavioral Research

    MBR · 348 publications · 59.3K citations

    104

    h-index

  3. Psychological Methods

    223 publications · 105.7K citations

    103

    h-index

  4. Psychometrika

    254 publications · 104.8K citations

    88

    h-index

  5. Educational and Psychological Measurement

    288 publications · 30.7K citations

    86

    h-index

1–5