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# Repeated Measures ANOVA

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ANOVA with Repeated Measures

This week, you have explored various functions involving ANOVA with repeated measures. In this Application, you will practice using repeated-measures ANOVA.

To prepare for this Application:

Review Chapter 14 of the Field text and the Web sites listed in the Resources section for a description of the analysis of variance with repeated measures, as well as an example of conducting an analysis of variance with repeated measures using PASW.
Review Chapter 5 from the APA manual, "Displaying Results."

Review the media demonstrating the ANOVA with repeated measures.
The assignment:

Complete Smart Alex's Task #2 on p. 589 to perform an analysis of variance with repeated measures using the TutorMarks.sav dataset from the Field text. You can follow the steps outlined on pp. 555-565 as a guide.

Report your findings in APA format according to the guidelines in the PASW Application Assignment Guidelines handout. The final document should be 2-3 pages long.

1. (5 pts) State the underlying assumptions for the statistical test.
2. (5 pts) State whether the assumptions have been met. If the assumptions were not met (either in actuality or hypothetically), state what alternatives you have available to you.
3. (5 pts) State the null and alternative (research) hypotheses.
4. (5 pts) Copy your syntax file and paste it into your MS Word Document.
5. (5 pts) For your output file: Select all ïƒ  Copy all objects ïƒ  Paste into your MS word document. This will ensure that your output is in a form that your instructor can read.
6. (10 pts) Create a results table consistent with requirements from the APA style manual.
7. (10 pts) Report the results using correct APA format.
a. For ANOVA, ANCOVA, and Repeated Measures ANOVA models, ensure that you provide interpretations for the main effects and interactions as well as any post-hoc tests.
b. For Multiple and Logistic Regression models, ensure that you include appropriate measures of model fit as well as the specific procedure used (e.g., Hierarchical, Enter, Stepwise, Forward, Backward).
8. (5 pts) Describe how you would compute the sample size to achieve 80% power, alpha = .05, and the appropriate effect size.

https://brainmass.com/statistics/normal-distribution/repeated-measures-anova-628100

#### Solution Preview

Please see the attached files. The main work is in the WORD document. The SPSS output was enclosed too. Good luck! Contact me again when you need more help. Thanks.

Complete Smart Alex's Task #2 on p. 589 to perform an analysis of variance with repeated measures using the TutorMarks.sav dataset from the Field text. You can follow the steps outlined on pp. 555-565 as a guide.
Report your findings in APA format according to the guidelines in the PASW Application Assignment Guidelines handout. The final document should be 2-3 pages long.
1. (5 pts) State the underlying assumptions for the statistical test.
Assumption 1: The dependent variable should be measured at the continuous level (i.e., they are interval or ratio variables).
Assumption 2: The independent variable should consist of at least two categorical, "related groups" or "matched pairs".
Assumption 3: There should be no significant outliers in the related groups.
Assumption 4: The distribution of the dependent variable in the two or more related groups should be approximately normally distributed.
Assumption 5: Known as sphericity, the variances of the differences between all combinations of related groups must be equal.
2. (5 pts) State whether the assumptions have been met. If the assumptions were not met (either in actuality or hypothetically), state what alternatives you have available to you.
It is easy to see that the assumptions 1 and 2 are met, as the dependent variable is the marks given by four tutors, which is at a Ratio level, and the independent variable is the subject's essays and the tutors who mark for each essay, and is "related groups".
From ...

#### Solution Summary

This solution consists of details of how to perform a repeated measures ANOVA in SPSS.

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