Change Score Models

Change Score Models is a statistical modeling approach that belongs to the class of longitudinal analysis techniques and is distinguished by its specification of change as a latent variable representing individual deviations in construct levels across time, enabling the examination of invariance in measurement while accounting for temporal change.

281

Publications

19.5K

Citations

911

Authors

443

Institutions

Publications per year

2017–2026

156

Variants

Change Score Modeling

Authors

911

  1. JJ
    John J. McArdle

    University of Southern California, United States

    10 publications · 1.1K citations

    10

    h-index

  2. KJ
    Kevin J. Grimm

    Arizona State University, United States

    8 publications · 824 citations

    8

    h-index

  3. OH
    Oliver Huxhold

    German Centre of Gerontology, Germany

    7 publications · 789 citations

    7

    h-index

  4. UL
    Ulman Lindenberger

    Max Planck Institute for Human Development, Germany

    6 publications · 753 citations

    6

    h-index

  5. RK
    Rogier Kievit

    University of Cambridge, United Kingdom

    6 publications · 331 citations

    6

    h-index

1–5 of 911

Venues

  1. Psychology and Aging

    16 publications · 1.4K citations

    16

    h-index

  2. The Journals of Gerontology Series B

    14 publications · 1.2K citations

    14

    h-index

  3. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 12 publications · 779 citations

    12

    h-index

  4. Developmental Psychology

    11 publications · 623 citations

    11

    h-index

  5. Frontiers in Psychology

    10 publications · 546 citations

    10

    h-index

1–5