Reference no: EM13916921

Activity Description

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

This assignment 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 Assignment

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.

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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Learning Outcomes
2.0 Develop appropriate null and alternative hypotheses given a research question.
3.0 Calculate and interpret descriptive statistical analysis.
4.0 Create and interpret visual displays of data.
5.0 Apply appropriate statistical tests based on level of measurement.
6.0 Determine the appropriate use of inferential statistical analysis.
9.0 Compare and contrast parametric and non-parametric data analysis in order to apply the correct statistical procedure.
10.0 Demonstrate proficiency in the use of SPSS.
11.0 Demonstrate proficiency in reporting statistical output in APA format.