Review Repeated Measures

You will submit one Word document for this assignment. You will create this Word document by cutting and pasting SPSS output into Word.
Begin by downloading the following SPSS data set:

Activity 8.sav (I have attached)

This assignment consists of two parts. In the first part, you will utilize an existing dataset to analyze 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 Assignment
The “Activity 8.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)

Now do the following:

Exploratory Data Analysis.

Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.

Give a one to two paragraph write up of the data once you have done this.

Create an APA style table that presents descriptive statistics for the sample.

Repeated Measures ANOVA. Perform a repeated measures ANOVA using the “Activity 8.sav” data set. You will use Score_0 through Score_12 as your repeated measure (7 levels), and gender as a fixed factor.

Is the assumption of sphericity violated? How can you tell? What does this mean in the context of interpreting the results?

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).

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.

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

Briefly restate your research area of interest. (Below I have copied and pasted the research area of interest used in the last assignment in which you can use the data compiled to create the needed information needed for the question below)

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?

Previous Question from Previous Assignment below:

****Briefly restate your research area of interest.
Analysis of Covariance. Using your area of interest, identify one independent and two dependent variables, such that the dependent variables would likely be covariates. Now, assume you conducted an ANCOVA that shows both the first independent variable as well as the covariate significantly predicts the dependent variable. Create a mock

ANCOVA output table (see SPSS Output 11.3 in your text for an example) that supports the relationship shown above. Report your mock finding APA style.

The MOCK ANCOVA Output table is given below:

Independent Variable: MD years of practice,

Dependent Variables: RN-MD collaboration

Covariate: MD level of burnout (0-10 scale) and MD level of collaboration (0-10 scale).

Summary of one-way ANOVA of RN-MD collaboration

Source

Between Groups

xx.xx

Within Groups

xx.xx

Total

xx.xx

Summary of one-way ANCOVA of RN-MDs collaboration

Tests of Between-Subjects Effects

Dependent Variable:RN-MD

Source

Corrected Model

xx.xx

Intercept

xx.xx

MD years of practice

xx.xx

MD level of burnout (0-10 scale)

xx.xx

MD level of collaboration (0-10 scale)

xx.xx

MD level of collaboration (0-10 scale)* MD level of burnout (0-10 scale)

xx.xx

MD years of practice* MD level of burnout (0-10 scale)

xx.xx

MD years of practice* MD level of collaboration (0-10 scale)

xx.xx

Error

xx.xx

Total

xx.xx

Corrected Total

xx.xx

a. R Squared = xx.xx (Adjusted R Squared = xx.xx)

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