In this week’s episode Greg and Patrick talk about group coding approaches, like dummy variables and effect code variables, for helping to analyze group differences within the larger general linear model. Along they way they also discuss hacking up a lung, made for audio faces, walking pneumonia, putting Vicks VapoRub on your feet, cards in your spokes, confusing rental cars, crash test dummies, what is your quest, 25-cent Nyquil night, Bonferroni glasses, the Romans, and Nyquil haze.
Related Episodes
- S3E11: The Cons and the Cons of Median Splits
- S3E09: Semi-Partially Clarifying Measures of Association in Regression
- S2E18: Regression: Like That Old High School Friend You’ve Outgrown
- S2E09: MANOVA Must Die
Suggested Readings
Alkharusi, H. (2012). Categorical variables in regression analysis: A comparison of dummy and effect coding. International Journal of Education, 4(2), 202.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Daly, A., Dekker, T., & Hess, S. (2016). Dummy coding vs effects coding for categorical variables: Clarifications and extensions. Journal of Choice Modelling, 21, 36-41.
Te Grotenhuis, M., Pelzer, B., Eisinga, R., Nieuwenhuis, R., Schmidt-Catran, A., & Konig, R. (2017). When size matters: advantages of weighted effect coding in observational studies. International Journal of Public Health, 62, 163-167.
Wolf, G., & Cartwright, B. (1974). Rules for coding dummy variables in multiple regression. Psychological Bulletin, 81(3), 173.