Effect Coding
نویسنده
چکیده
Effect coding is a coding scheme used when an analysis of variance (anova) is performed with multiple linear regression (mlr). With effect coding, the experimental effect is analyzed as a set of (nonorthogonal) contrasts which opposes all but one experimental conditions to one given experimental condition (usually the last one). With effect coding, the intercept is equal to the grand mean and the slope for a contrast expresses the difference between a group and the grand mean.
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تاریخ انتشار 2009