Effect coding is a method used in statistical analysis to represent categorical variables as numerical values, enabling their inclusion in regression models. This technique contrasts with dummy coding by allowing for the comparison of each level of a categorical variable to the overall mean rather than a reference category. It effectively captures the influence of categorical predictors, enhancing the interpretation of model coefficients.
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