Intercept Invariance

Intercept Invariance is a form of partial measurement invariance requiring that the item intercepts (or thresholds) of a latent variable model are equal across groups or measurement occasions, thereby ensuring that differences in observed item means are attributable solely to differences in the latent construct rather than to group-specific measurement biases.

17

Publications

788

Citations

35

Authors

27

Institutions

Publications per year

2017–2026

1

Authors

35

  1. ND
    Nicholas D. Myers

    University of Miami, United States

    1 publications · 22 citations

    1

    h-index

  2. SR
    Sílvia R. C. Lopes

    Universidade Federal do Rio Grande do Sul, Brazil

    1 publications · 20 citations

    1

    h-index

  3. AN
    A. Neveu

    European Organization for Nuclear Research, Switzerland

    1 publications · 44 citations

    1

    h-index

  4. JC
    Jan Cieciuch

    Cardinal Stefan Wyszynski University in Warsaw, Poland

    1 publications · 14 citations

    1

    h-index

  5. NH
    N. Harris McClamroch

    University of Michigan, United States

    1 publications · 12 citations

    1

    h-index

1–5 of 35

Venues

  1. Journal of Mathematical Psychology

    1 publications · 25 citations

    1

    h-index

  2. Journal of Philosophical Logic

    1 publications · 12 citations

    1

    h-index

  3. Nuclear Physics B

    1 publications · 44 citations

    1

    h-index

  4. European Political Science

    EPS · 1 publications · 14 citations

    1

    h-index

  5. Political Analysis

    1 publications · 29 citations

    1

    h-index

1–5