Ordinal Factor Analysis

Ordinal Factor Analysis is a latent variable modeling technique that extends conventional factor analysis to ordinal data by incorporating threshold parameters that link underlying continuous latent variables to observed ordinal responses, thereby accounting for the ordered categorical nature of the measured variables.

64

Publications

12K

Citations

148

Authors

88

Institutions

Publications per year

2017–2026

20

Variants

Polychoric Factor Analysis

Authors

148

  1. AM
    Alberto Maydeu‐Olivares

    Universitat de Barcelona, Spain

    5 publications · 1.2K citations

    5

    h-index

  2. DS
    Dexin Shi

    University of South Carolina, United States

    3 publications · 519 citations

    3

    h-index

  3. JM
    John M. Taylor

    University Medical Center, United States

    2 publications · 507 citations

    2

    h-index

  4. AR
    Alexander Robitzsch

    Leibniz Institute for Science and Mathematics Education, Germany

    2 publications · 370 citations

    2

    h-index

  5. CE
    Carl E. Ferguson

    University of Alabama, United States

    2 publications · 234 citations

    2

    h-index

1–5 of 148

Venues

  1. Structural Equation Modeling A Multidisciplinary Journal

    SEM · 8 publications · 1.3K citations

    8

    h-index

  2. Multivariate Behavioral Research

    MBR · 4 publications · 690 citations

    4

    h-index

  3. Psychological Methods

    3 publications · 2.9K citations

    3

    h-index

  4. Psychological Assessment

    2 publications · 511 citations

    2

    h-index

  5. Scholarworks (University of Massachusetts Amherst)

    Repository · 2 publications · 352 citations

    2

    h-index

1–5