1. You then decide to use a repeated-measures design for the same research question, in which participants' baseline (neutral control) arrogance is first measured based on responses to vignettes, after which the same participants are manipulated to feel increased personal control (and provide a measure of arrogance), and finally manipulated to feel reduced personal control (and again provide a measure of arrogance). Below are your participants' psychological well-being scores in each of the three conditions.

Participant# increased control neutral control reduced control

1 4 3 1

2 5 3 2

3 6 3 1

4 5 2 1

1. 4 4 3

6 6 4 2

Input your data into an SPSS data file and run a one-way (repeated measures) ANOVA.

1. How do you organize your data on SPSS in terms of rows and columns and what goes into each (it's ok to draw this out if that's easier for you)?

Go to variable view, type in ID then increased, neutral and reduced.Then, to data view and put in the participant numbers. After that, we enter the scores for each column.

1. What is the path to run a one-way repeated measures ANOVA on SPSS?

Go to Analyze, then general linear model, repeated measures.Type in your IV and number of levels and click add. Next click define and add levels. Click EM Means and move the IV and compare main effects. Click continue that brings us to the page with a lot of tables.

1. Add a copy of your results tables below (you only need to include the ones you will need):
2. Report your F-value, degrees of freedom, and p-value for your test
3. Is the result significant and what is your verbal conclusion, using the language of this specific example? (Hint: keep in mind what the one-way ANOVA can and cannot tell us.
4. Conduct post-hoc tests on your specific research question. Which groups differ significantly?
5. Take a look at the data for your two analyses.The numbers are actually identical for the three groups! Why were the F-values not the same?