Marker Variable Identification

Marker Variable Identification is a methodological procedure in latent variable modeling that designates specific observed variables as anchors to scale latent constructs, thereby enabling meaningful metric and intercept invariance testing across groups in latent mean comparisons.

15

Publications

1.6K

Citations

43

Authors

27

Institutions

Publications per year

2017–2026

5

Authors

43

  1. PG
    Patricia Gándara

    University of California, Los Angeles, United States

    1 publications · 26 citations

    1

    h-index

  2. JE
    John E. Overall

    The University of Texas Medical Branch at Galveston, United States

    1 publications · 15 citations

    1

    h-index

  3. TS
    Tomoki Sekiguchi

    Kyoto University, Japan

    1 publications · 45 citations

    1

    h-index

  4. SG
    Sangeeta Gupta

    International Management Institute, India

    1 publications · 39 citations

    1

    h-index

  5. YF
    Yuka Fujimoto

    Deakin University, Australia

    1 publications · 45 citations

    1

    h-index

1–5 of 43

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 1 publications · 570 citations

    1

    h-index

  2. Organizational Research Methods

    ORM · 1 publications · 254 citations

    1

    h-index

  3. Personnel Review

    1 publications · 45 citations

    1

    h-index

  4. Journal of Research in Childhood Education

    JRCE · 1 publications · 50 citations

    1

    h-index

  5. European Conference on Information Systems

    Conference · 1 publications · 10 citations

    1

    h-index

1–5