Thought of as the number of parents with some college education, and we could think of it as being broken up into We could think of mealcat as being the number of students receiving free meals and broken up
The variable mealcat is the variable mealsīroken up into 3 categories, and the variable collcat is the variable some_col broken intoģ categories. (performance on the api in the year 2000. We will focus on the variables mealcat, and collcat as they relate to the outcome
Simple effects of mealcat at levels of yr_rndįor this chapter we will use the elemapi2 data file that we have been using in prior chapters. Simple effects of yr_rnd at levels of mealcatĦ.8.2 Example 2. Analysis with 2 categorical variablesĦ.2.1 Analyzing Simple Effects Using MANOVA and GLMĦ.2.2 Analyzing Simple Effects Using REGRESSIONĦ.3.1 Analyzing Simple Comparisons Using MANOVA and GLMĦ.3.2 Analyzing Simple Comparisons Using REGRESSIONĦ.4.1 Analyzing partial interactions Using MANOVA and GLMĦ.4.2 Analyzing partial interactions Using REGRESSIONĦ.5.1 Analyzing interaction contrasts using MANOVA and GLMĦ.5.2 Analyzing interaction contrasts using REGRESSIONĦ.6.1 Computing Adjusted Means via MANOVA and GLMĦ.7 More Details on Meaning of the CoefficientsĦ.8 Simple Effects via Dummy Coding vs.
