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
Parents
16
Effects coding in discrete choice experiments
Mickael Bech, Dorte Gyrd‐Hansen · Health Economics · 2005 · 573 citations
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18

Radboud University Nijmegen
Nijmegen, The Netherlands
3 h-index
9 publications
667 citations

University of Cologne
Cologne, Germany
2 h-index
2 publications
164 citations

Stockholm University
Stockholm, Sweden
2 h-index
2 publications
164 citations

University of Leeds
Leeds, United Kingdom
1 h-index
3 publications
396 citations

University of Greenwich
London, United Kingdom
1 h-index
1 publications
11 citations

University of British Columbia
Vancouver, Canada
1 h-index
1 publications
27 citations
Simon Fraser University
Burnaby, Canada
1 h-index
1 publications
27 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
10 citations
1–8 of 18
SPM · 2 publications · 164 citations
2
h-index
1 publications · 11 citations
1
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1 publications · 24 citations
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SMR · 1 publications · 10 citations
1
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1 publications · 50 citations
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1–5