Strict Invariance

Strict Invariance is a level of measurement invariance in which, in addition to configural, metric, and scalar invariance, the error variances of observed indicators are constrained to be equal across groups, ensuring that both the latent variable means, variances, and the reliability of the measures are comparable across groups.

275

Publications

13.1K

Citations

774

Authors

317

Institutions

Publications per year

2017–2026

15

Authors

774

  1. JJ
    Justyna Jarczyk

    University of Zielona Góra, Poland

    5 publications · 133 citations

    5

    h-index

  2. JD
    Jean‐Marie Dufour

    Université de Montréal, Canada

    3 publications · 143 citations

    3

    h-index

  3. MD
    M.G. Dagenais

    Université de Montréal, Canada

    3 publications · 143 citations

    3

    h-index

  4. JK
    Jerzy K. Baksalary

    University of Zielona Góra, Poland

    3 publications · 67 citations

    3

    h-index

  5. DG
    Dominic G. B. Edelen

    Lehigh University, United States

    3 publications · 33 citations

    3

    h-index

1–5 of 774

Venues

  1. Linear Algebra and its Applications

    9 publications · 208 citations

    9

    h-index

  2. 7

    h-index

  3. Stochastic Processes and their Applications

    7 publications · 352 citations

    7

    h-index

  4. Journal of Multivariate Analysis

    7 publications · 333 citations

    7

    h-index

  5. Automatica

    7 publications · 1.1K citations

    7

    h-index

1–5