Longitudinal Factor Structure

Longitudinal Factor Structure is a measurement model that specifies the stability of latent factor configurations across multiple time points, distinguishing itself from cross-sectional counterparts by explicitly capturing temporally invariant factor loadings, intercepts, and error structures to enable valid longitudinal comparison.

1.6K

Publications

121.9K

Citations

5.4K

Authors

1.7K

Institutions

Publications per year

2017–2026

322

Authors

5.4K

  1. VS
    Viren Swami

    University of Westminster, United Kingdom

    10 publications · 548 citations

    10

    h-index

  2. JJ
    John J. McArdle

    University of Southern California, United States

    10 publications · 753 citations

    10

    h-index

  3. DA
    David A. Cole

    Vanderbilt University, United States

    9 publications · 630 citations

    9

    h-index

  4. HW
    Herbert W. Marsh

    Western Sydney University, Australia

    8 publications · 1.6K citations

    8

    h-index

  5. PM
    Peter Muris

    Maastricht University, Netherlands

    7 publications · 1K citations

    7

    h-index

1–5 of 5.4K

Venues

  1. Personality and Individual Differences

    79 publications · 6.9K citations

    47

    h-index

  2. Psychological Assessment

    57 publications · 5.6K citations

    36

    h-index

  3. Journal of Anxiety Disorders

    24 publications · 1.4K citations

    23

    h-index

  4. 23

    h-index

  5. Psychiatry Research

    31 publications · 1.5K citations

    23

    h-index

1–5