Application ? Repeated-Measures

Application ? Repeated-Measures

To Prepare for this week?s Activity;

Download the following SPSS Data Set.
Activity 6.sav
Read Chapter 14 in the text. It will be to your advantage to have SPSS open on your computer as you work through the chapter. While you are reading consider your area of research interest and when you have seen repeated-measures designs applied. How might you use this analytical strategy in your dissertation research?

Complete the Self-Tests in the chapter. Answers are available at: http://www.sagepub.com/field4e/study/selftest.htm.

Complete Smart Alex?s Quizzes. Answers are available at: http://www.sagepub.com/field4e/study/smartalex.htm.

Optional Preparation for this week?s Activity
After completing the above activities, if you feel you need additional instruction on the concepts covered, please choose any of the following activities that will assist you in mastering the core concepts.
Interactive Multiple Choice Questions
Flashcards
Main Task: Application ? Repeated-Measures
You will submit one Word document for this activity. You will create this Word document by cutting and pasting SPSS output into Word.

This Activity consists of two parts. In the first part, you will utilize an existing dataset to analyze the dataset from repeated-measures experimental design. All SPSS output should be pasted into your Word document. In the second part, you will be asked to create a dataset for a hypothetical repeated-measures experimental design. Finally, you will answer questions about your hypothetical dataset.

Part A. SPSS Activity
The ?Activity 6.sav? file contains a dataset of a high school teacher interested in determining whether his students? test scores increase over the course of a 12 week period. In the dataset, you will find the following variables:
Participant: unique identifier
Gender: Male (M) or Female (F)
Score_0 ? score on the initial course pre-test (first day of class)
Score_2 ? score at the end of week 2
Score_4 ? score at the end of week 4
Score_6 ? score at the end of week 6
Score_8 ? score at the end of week 8
Score_10 ? score at the end of week 10
Score_12 ? score at the end of the course (week 12)

To complete this Activity
1. Exploratory Data Analysis.
a. Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.
b. Compose a one to two paragraph write up of the data.
c. Create an APA style table that presents descriptive statistics for the sample.

2. Repeated-Measures ANOVA. Perform a repeated-measures ANOVA using the ?Activity 6.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.

Part B. Applying Analytical Strategies to an Area of Research Interest
3. Briefly restate your research area of interest.
a. Identify at least 2 variables for which you would utilize a repeated-measures ANOVA in your analysis. Describe the variables and their scale of measurement. Identify whether each factor is fixed or repeating. Where on the SPSS output would you look to find out if you violated the assumption of sphericity? If the data did violate this assumption, what would the impact be on your analysis?

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