# Repeated Measures ANOVA

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Question description

#6
You will submit one Word document for this activity. You will
create this Word document by cutting and pasting SPSS output into Word.

Activity #6 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
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 Activity #6
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
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

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