Effect Coding

Effect Coding is a categorical encoding technique that represents categorical variables by comparing each level to the grand mean of all levels, using contrasts of −1, 0, and +1 to ensure interpretability in regression models.

16

Publications

1.6K

Citations

31

Authors

18

Institutions

Publications per year

2017–2026

3

Variants

Deviation Coding

Authors

31

  1. BP
    Ben Pelzer

    Radboud University Nijmegen, Netherlands

    3 publications · 214 citations

    3

    h-index

  2. RN
    Rense Nieuwenhuis

    Stockholm University, Sweden

    3 publications · 214 citations

    3

    h-index

  3. AS
    Alexander Schmidt‐Catran

    University of Cologne, Germany

    2 publications · 164 citations

    2

    h-index

  4. RK
    Ruben Konig

    Radboud University Nijmegen, Netherlands

    2 publications · 164 citations

    2

    h-index

  5. MT
    Manfred te Grotenhuis

    Radboud University Nijmegen, Netherlands

    2 publications · 164 citations

    2

    h-index

1–5 of 31

Venues

  1. International Journal of Public Health

    SPM · 2 publications · 164 citations

    2

    h-index

  2. MethodsX

    1 publications · 11 citations

    1

    h-index

  3. Research in Higher Education

    1 publications · 24 citations

    1

    h-index

  4. Sociological Methods & Research

    SMR · 1 publications · 10 citations

    1

    h-index

  5. The R Journal

    1 publications · 50 citations

    1

    h-index

1–5