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Explaining Differences Between Dummy Coding Values and Effect Coding Values

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Two vectors are orthogonal if they are perpendicular to each other. Y 2627 -147 V1393 V2. Dummy Coding Sage Research Methods To carry out a comparison of means test or two sample t test between the two groups. . With dummy coding the estimate of the interaction is fine but main effects are not true main effects but rather what are called simple effects ie the effect of one variable at one level of the other variable. The primary benefit is that you get reasonable estimates of both the main effects and interaction using effect coding. Our example looks like this. Since X20 for one category of X2 b1 is not a main effect an overall effect of X1 across all values of X2. For the first K-1 levels one recoded variable is equal to 1 eg. The dot product of the two vectors is zero. When using effect coding the intercept b0 gives the overall grand mean. The difference in coding is that in effect coding the comparison...
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