Intercept Equality Constraints

Intercept Equality Constraints is a measurement invariance condition in structural equation modeling that requires the intercepts of observed indicator variables to be equal across groups or time points, ensuring that latent variable comparisons are not confounded by systematic differences in measurement origins.

16

Publications

1.3K

Citations

26

Authors

21

Institutions

Publications per year

2017–2026

2

Authors

26

  1. WR
    William R. Dillon

    Southern Methodist University, United States

    2 publications · 55 citations

    2

    h-index

  2. AK
    Ajith Kumar

    Arizona State University, United States

    2 publications · 55 citations

    2

    h-index

  3. DG
    Damodar Gujarati

    City University of New York, United States

    2 publications · 333 citations

    2

    h-index

  4. EK
    Eric Klopp

    Saarland University, Germany

    2 publications · 52 citations

    2

    h-index

  5. TE
    Thomas E. Love

    Case Western Reserve University, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 26

Venues

  1. Computational Statistics & Data Analysis

    CSDA · 3 publications · 92 citations

    3

    h-index

  2. Journal of Marketing Research

    2 publications · 55 citations

    2

    h-index

  3. The American Statistician

    2 publications · 333 citations

    2

    h-index

  4. Psychological Bulletin

    1 publications · 40 citations

    1

    h-index

  5. Nuclear Physics B

    1 publications · 38 citations

    1

    h-index

1–5