Topics: Analysis of Covariance goals, assumptions, analyses, interpretations Exercise: A situation is

Topics:

Analysis of Covariance

goals, assumptions, analyses, interpretations

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:

Teaching Method

1		2		3		4		5
pre	post	pre	post	pre	post	pre	post	pre	post
10	18	22	40	30	38	35	25	11	15
20	17	31	22	31	40	37	45	16	17
15	23	16	28	18	41	41	50	19	20
12	19	17	31	22	40	30	51	25	23

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 4 pages, 406 words and 4 charts.
Deliverable: Word Document