Rc Association Models

RC Association Models is a type of log-linear model that incorporates row and column scores to capture the interaction structure in contingency tables, distinguished by its ability to model ordinal associations through multiplicative parameters reflecting the relative positions of categories along latent continuums.

12

Publications

486

Citations

19

Authors

14

Institutions

Publications per year

2017–2026

1

Variants

Row-column Association Models

Authors

19

  1. MP
    Mark P. Becker

    University of Michigan, United States

    3 publications · 223 citations

    3

    h-index

  2. MK
    Maria Kateri

    RWTH Aachen University, Germany

    2 publications · 31 citations

    2

    h-index

  3. CC
    Clifford C. Clogg

    Pennsylvania State University, United States

    2 publications · 145 citations

    2

    h-index

  4. IN
    Ioannis Ntzoufras

    Athens University of Economics and Business, Greece

    2 publications · 31 citations

    2

    h-index

  5. EB
    Erling B. Andersen

    Copenhagen Business School, Denmark

    1 publications · 42 citations

    1

    h-index

1–5 of 19

Venues

  1. 3

    h-index

  2. edoc (University of Basel)

    Repository · 1 publications · 11 citations

    1

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Biometrics

    1 publications · 75 citations

    1

    h-index

  5. Sociological Methodology

    1 publications · 44 citations

    1

    h-index

1–5