The Compare Means function
1) Describe in your own words what type of research situations call for a researcher to use an ANOVA analysis.
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2a) Use the Compare Means function (Analyze Compare Means Means) to compare the means of the three Sound conditions on Anxiety and
Performance.
Paste output below (Read carefully: The best way to do this is to select “Copy Special” when copying from the SPSS output. Then select image as a format to
copy. When pasting in Word, select Paste Special, choose a picture format, and then resize the image so it fits the screen):
2b) Based on these results, on which variable does it most appear there might be significant differences based on the Sound condition?
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3a) Conduct a one-way ANOVA on both Anxiety and Performance using Sound as the independent variable. That is, conduct two separate one-way ANOVAs,
one with Anxiety as the dependent variable and one with Performance as the dependent variable.
Paste the output below (Read carefully: The best way to do this is to select “Copy Special” when copying from the SPSS output. Then select image as a
format to copy. When pasting in Word, select Paste Special, choose a picture format, and then resize the image so it fits the screen):
3b) Based on these results, were either of your ANOVAs significant? How can you tell? Use a cutoff level of .05 for your decision.
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4a) Remember that in a one-way ANOVA, we are only looking at the impact of one variable on the dependent variable. Factorial ANOVAs, on the other hand,
assess the impact of multiple independent variables. Conduct a factorial ANOVA on Performance using both Sound and Experience as independent
variables. Be sure to choose the option to view the estimated marginal means (by selecting ‘EM Means’ instead of ‘Options’) for all of your main effects and
interactions—this will allow you to more easily interpret the results.
Paste your output for only the Test of Between-Subjects Effects below:
4b) Write the results of the ANOVA. For help, refer to the ‘How to Present the Results of a Two-way ANOVA’ section of this webpage.