Uniqueness Invariance

Uniqueness Invariance is a measurement invariance condition in structural equation modeling that specifies the equivalence of error variances across groups or time points, ensuring that the unique components of observed variables are invariantly structured.

5

Publications

270

Citations

7

Authors

7

Institutions

Publications per year

2017–2026

0

Authors

7

  1. MS
    M. Seetharama Gowda

    University of Maryland, Baltimore County, United States

    1 publications · 79 citations

    1

    h-index

  2. RS
    Roman Sznajder

    University of Maryland, Baltimore County, United States

    1 publications · 79 citations

    1

    h-index

  3. MB
    M. Bachir Bekka

    Laboratoire de Mathématiques d'Orsay, France

    1 publications · 45 citations

    1

    h-index

  4. RM
    Ruggero María Santilli

    Boston University, United States

    1 publications · 11 citations

    1

    h-index

  5. SP
    Stephen Pollard

    University of Sheffield, United Kingdom

    1 publications · 32 citations

    1

    h-index

1–5 of 7

Venues

  1. Mathematics of Operations Research

    1 publications · 79 citations

    1

    h-index

  2. Nature

    1 publications · 32 citations

    1

    h-index

  3. International Journal of Modern Physics A

    1 publications · 11 citations

    1

    h-index

  4. Reviews of Modern Physics

    1 publications · 103 citations

    1

    h-index

  5. Proceedings of the American Mathematical Society

    PROC · 1 publications · 45 citations

    1

    h-index

1–5