Exercise:

A situation is described in which several different methods of teaching the JAVA programming language are compared (Method 1,2,3,4, 5 ). You as the experimenter have reason to believe that general ability of the students might affect their achievement under any given teaching method. Therefore, you would want to remove all possible linear effects of general ability on programming achievement by using ANCOVA.

The subjects are 20 female college freshmen who were assigned randomly to five groups each representing a different method of teaching. Prior to the experimental sessions, each subject was given a general ability test and, after the training, achievement was measured. No student had prior experience with JAVA. The data are presented below:

Use SPSS to test univariate assumptions (but not homogeneity of regression). Next, use ANCOVA in GLM to determine if differences due to teaching method exist after adjusting for the students' general ability. Write a short results section (in APA format) - Tabachnick and Fidell have examples of how to do this (with assumptions included). Make post-hoc group comparisons using the "EMMEANS" procedure adjusting for the covariate.

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Solution: The downloadable solution consists of 5 pages, 526 words and 6 charts.
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