Log-linear Interaction Effects

Log-Linear Interaction Effects is a statistical construct in log-linear modeling that represents the deviation from independence among categorical variables, capturing how the association between two or more variables changes across the levels of other variables in a multiway contingency table.

65

Publications

12.4K

Citations

111

Authors

60

Institutions

Publications per year

2017–2026

8

Authors

111

  1. LA
    Leonard A. Marascuilo

    University of California, Berkeley, United States

    3 publications · 87 citations

    3

    h-index

  2. PL
    Patricia L. Busk

    University of San Francisco, United States

    3 publications · 87 citations

    3

    h-index

  3. JM
    Jay Magidson

    Clinical Innovations (United States), United States

    3 publications · 83 citations

    3

    h-index

  4. AV
    Alexander von Eye

    Michigan State University, United States

    3 publications · 44 citations

    3

    h-index

  5. JH
    Jangman Hong

    2 publications · 55 citations

    2

    h-index

1–5 of 111

Venues

  1. 5

    h-index

  2. Biometrika

    3 publications · 83 citations

    3

    h-index

  3. Psychological Bulletin

    3 publications · 72 citations

    3

    h-index

  4. Sociological Methods & Research

    SMR · 3 publications · 63 citations

    3

    h-index

  5. Biometrics

    3 publications · 142 citations

    3

    h-index

1–5