Mean Structure Modeling

Mean Structure Modeling is a structural equation modeling technique that extends the covariance structure analysis by incorporating the modeling of latent variable means and intercepts, thereby enabling the testing of hypotheses about group differences and substantive theoretical predictions regarding latent means.

65

Publications

4.9K

Citations

172

Authors

90

Institutions

Publications per year

2017–2026

10

Variants

Mean And Covariance Structure Analysis

Authors

172

  1. GR
    Gregory R. Hancock

    University of Maryland, College Park, United States

    3 publications · 380 citations

    3

    h-index

  2. BM
    Bengt Muthén

    University of California, Los Angeles, United States

    2 publications · 412 citations

    2

    h-index

  3. AZ
    Andreas Ziegler

    University of Lübeck, Germany

    2 publications · 40 citations

    2

    h-index

  4. CK
    Christian Kästner

    Carnegie Mellon University, United States

    2 publications · 40 citations

    2

    h-index

  5. EK
    Emel Kahya

    Rutgers, The State University of New Jersey, United States

    2 publications · 102 citations

    2

    h-index

1–5 of 172

Venues

  1. Multivariate Behavioral Research

    MBR · 3 publications · 135 citations

    3

    h-index

  2. Boundary-Layer Meteorology

    2 publications · 610 citations

    2

    h-index

  3. Biostatistics

    2 publications · 34 citations

    2

    h-index

  4. Oceanography

    2 publications · 110 citations

    2

    h-index

  5. 2

    h-index

1–5