Data Preparation for Q3 (No point is earned if SPSS data file is missing)

For this question set, import the worksheet "Q3data" (third 'page' of the Exceldocument, the Codebook for which is its fourth 'page') into SPSS to create a data file. Be sure to submit this SPSS data file with your assignment to earn this credit.

(1 point total: deduct .5 for each error up to 1 point total)

Data:

subject	Color1	Color2	Color3
1	80.00	81.25	93.75
2	64.28	100.00	71.42
3	75.00	71.42	71.42
4	73.33	50.00	81.25
5	75.00	86.66	80.00
6	68.75	81.25	81.25
7	50.00	81.25	68.75
8	88.23	68.75	93.75
9	56.25	66.66	80.00
10	87.50	87.50	66.66
11	75.00	75.00	87.50
12	20.00	100.00	56.25
13	66.66	75.00	81.25
14	68.75	53.33	68.75
15	87.50	86.66	62.50
16	92.30	33.33	93.75
17	60.00	87.50	87.50
18	81.25	75.00	71.42
19	66.66	68.75	81.25
20	86.66	93.75	93.75

Q3. Perform and interpret a one-way repeated-measures ANOVA(7 points total, If SPSS output is missing for this analysis, 50% of the total number of earned points will be deducted)

This data set was adapted from one of Dr. Kuo's own experiments. In this experiment, Dr. Kuo examined people's memory for colors of drawings of ordinary objects while recording their brainwaves. Because Dr. Kuo needed to have a large number of trials to analyze the brainwave data properly and people couldn't possibly remember that many pictures all at once, she tested the subjects in 3 separate sessions with breaks in between sessions.

The data set shows the percent correct for each subject in the 3 sessions. Because color memory test is a relatively difficult task, it was of interest to Dr. Kuo to see if there were significant differences across the sessions in performance. If there were changes in the upward direction, it may indicate some practice effect in the subjects' color memory performance (that is, people get better at remembering colors after going through multiple sessions). For this question, perform a one-way repeated-measures ANOVA with the factor of "session" (3 levels) and the DV of color memory score.

A. Determine if the assumption of sphericity has been met by our data. Report the test of sphericity result (p value) and explain whether the assumption is met. Be sure to paste the relevant output tables here.(2 points total: 1 for each question. No credit is earned if no table is pasted.)

B. Report the test result in APA format (including F statistic, p value, and partialh²). Be sure to paste the relevant output tables here to support your answer.

(3 points total: 1 point for each statistic, dfs must be correct for F to earn credit. No credit is earned if no table is pasted.)

C. What is the answer to the research question based on the test result?

(1 point)

D. Request simple contrasts for the variable of "session" if you did not do so when you ran the ANOVA. Examine the contrasts and discuss your observation regarding any significant difference (or lack of difference) between the different sessions, citing p values to support your answer. Be sure to paste the relevant output table here to support your answer.

(2 points total: 1 for discussion of significance, 1 for discussion of p values. No credit is earned if no table is pasted.)