Pattern Invariance

Pattern Invariance is a measurement invariance criterion that belongs to the broader class of configural invariance conditions, specifically requiring that the same pattern of fixed and freely estimated parameters in a structural equation model is preserved across groups or time points, thereby ensuring comparability of the underlying factorial structure.

29

Publications

923

Citations

70

Authors

49

Institutions

Publications per year

2017–2026

5

Authors

70

  1. PJ
    Phillip J. Holcomb

    Tufts University, United States

    1 publications · 47 citations

    1

    h-index

  2. JK
    Jae Kun Lim

    Hankyong National University, South Korea

    1 publications · 18 citations

    1

    h-index

  3. PV
    Peter Van Petegem

    University of Antwerp, Belgium

    1 publications · 52 citations

    1

    h-index

  4. CB
    Camilla Boglioli

    Casa di Cura Villa Garda, Italy

    1 publications · 47 citations

    1

    h-index

  5. SB
    Scott Baker

    University of Oregon, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 70

Venues

  1. Neural Networks

    2 publications · 85 citations

    2

    h-index

  2. IEEE Transactions on Signal Processing

    2 publications · 47 citations

    2

    h-index

  3. Vision Research

    1 publications · 60 citations

    1

    h-index

  4. DOAJ (DOAJ: Directory of Open Access Journals)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. Journal of the Optical Society of America A

    1 publications · 19 citations

    1

    h-index

1–5