Latent Variable Scale Identification

Latent Variable Scale Identification is a methodological framework within latent variable modeling that establishes the metric properties of unobserved constructs by determining their scale origin and unit, thereby enabling meaningful interpretation and comparison of parameter estimates across groups or time points.

62

Publications

4.4K

Citations

184

Authors

106

Institutions

Publications per year

2017–2026

15

Authors

184

  1. TD
    Todd D. Little

    University of Kansas, United States

    4 publications · 1.3K citations

    4

    h-index

  2. KA
    Kayvan Aflaki

    University of Toronto, Canada

    2 publications · 57 citations

    2

    h-index

  3. JR
    John R. Nesselroade

    University of Virginia, United States

    2 publications · 661 citations

    2

    h-index

  4. KN
    Kenneth N. Kuttner

    Williams College, United States

    2 publications · 574 citations

    2

    h-index

  5. UL
    Ulman Lindenberger

    Max Planck Institute for Human Development, Germany

    2 publications · 661 citations

    2

    h-index

1–5 of 184

Venues

  1. Psychometrika

    3 publications · 197 citations

    3

    h-index

  2. Journal of Educational Statistics

    2 publications · 43 citations

    2

    h-index

  3. Journal of Clinical Epidemiology

    2 publications · 57 citations

    2

    h-index

  4. Multivariate Behavioral Research

    MBR · 2 publications · 42 citations

    2

    h-index

  5. Psychological Methods

    2 publications · 661 citations

    2

    h-index

1–5