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Repeated ANOVA in SPSS

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#1. In a study of brain protein PG3X, 12 patients are tested twice each day for 3 days to measure levels of PG3X. The scores below indicate levels of this protein.

D1t1 D1t2 D2t1 D2t2 D3t1 D3t2

1) 42.00 58.00 47.00 68.00 46.00 63.00
2) 37.00 43.00 47.00 73.00 52.00 63.00
3) 32.00 58.00 27.00 53.00 47.00 53.00
4) 27.00 48.00 27.00 48.00 27.00 48.00
5) 22.00 38.00 22.00 33.00 22.00 28.00
6) 17.00 23.00 16.00 28.00 12.00 18.00
7) 12.00 13.00 17.00 13.00 22.00 18.00
8) 12.00 18.00 17.00 28.00 17.00 23.00
9) 7.00 8.00 12.00 8.00 12.00 13.00
10) 12.00 8.00 17.00 15.00 22.00 18.00
11) 7.00 3.00 14.00 13.00 9.00 13.00
12) 2.00 8.00 9.00 8.00 9.00 8.00

Run the appropriate ANOVA and interpret the results.
If a main effect is significant, what does it indicate? What is happening to levels of PG3X? Look at the data... look at the cell means...what do you see?

#2. Woops! The first 6 patients in the study are men, and the second 6 are women. Recode the data and run the appropriate analysis.

a) Which MAIN EFFECT has the greatest effect size?
b) Which INTERACTION has the greatest effect size?
c) If any of the 2-way interactions are significant, try your very Piper best to explain them in plain, common, English. No, really try.

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The solution provides step by step method for the calculation of repeated ANOVA . Formula for the calculation and Interpretations of the results are also included.

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Repeated Measures ANOVA with SPSS

2. Repeated Measures ANOVA. Perform a repeated measures ANOVA using the "High_School_Scores.sav" data set. You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixed factor.
a. Is the assumption of sphericity violated? How can you tell? What does this mean in the context of interpreting the results?

b. Is there a main effect of gender? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).

c. Is there a main effect time (i.e., an increase in scores from Week 0 to Week 12)? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case). Examine the output carefully, and give as much detail as possible in your findings.

d. Write up the results in APA style and interpret them. Be sure that you discuss both main effects and the presence/absence of an interaction between the two.

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