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Exploratory Data Analysis: Analyzing the Impact of Time and Gender on Test Scores Using Repeated Measures ANOVA: A 12-Week Study

Solved assignment on the effects of time and gender on test scores using repeated measures ANOVA.

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    Running head: EXPLORATORY DATA ANALYSIS 1 Exploratory data analysis Student’s name Professor’s name, Course title D ate Analyze the changes in scores over a 12 - week period using repeated measures ANOVA. Discuss the overall trend, gender differences, and interaction effects between time and gender. Include descriptive statistics, assumptions of sphericity, and interpret the results with appropriate APA style tables. (Word Count: 800 - 1000 words)

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    EXPLORATORY DATA ANALYSIS 2 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. Descriptive Statistics N Minimum Maximum Mean Std. Deviation Pre - test score 12 16 59 29.58 12.221 Week 2 score 12 22 60 33.08 10.113 Week 4 score 12 27 63 35.42 9.885 Week 6 score 12 20 60 35.67 10.671 Week 8 score 12 28 65 39.92 9.718 Week 10 score 12 33 67 45.67 8.690 Week 12 score 12 34 73 50.00 10.189 Valid N (listwise) 12

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    EXPLORATORY DATA ANALYSIS 3 Gender Female Male Mean Mean Pre - test score 28 32 Week 2 score 30 40 Week 4 score 34 39 Week 6 score 36 35 Week 8 score 39 41 Week 10 score 45 47 Week 12 score 48 53

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    EXPLORATORY DATA ANALYSIS 4 b. Give a one to two paragraph write up of the data once you have done this. c. Create an APA style table that presents descriptive statistics for the sample.

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    EXPLORATORY DATA ANALYSIS 5 From the above analysis and graphs we can easily see that the mean score of the participants are increasing with the increase over the course duration. So mean score is going high as the weeks are increasing from 0 to 12. The same thing is represented by the line graphs. First table is a descriptive statistics table with taking all participants together; second table is a divided with the gender of the participants. Similarly we have graphs shown above with taking all the participants as well as the participants with males and females. All are showing the increasing trend in the mean score. It clearly indicates that the mean score is increasing overall as well as within each category.

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    EXPLORATORY DATA ANALYSIS 6 2. Repeated Measures ANOVA. Perform 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. Within - Subjects Factors Measure:MEASURE_1 SCORE Dependent Variable d i m e n s i o n 1 1 Score_0 2 Score_2 3 Score_4 4 Score_6 5 Score_8 6 Score_10 7 Score_12

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    EXPLORATORY DATA ANALYSIS 7 Between - Subjects Factors Value Label N Gender F Female 8 M Male 4 Descriptive Statistics Gender Mean Std. Deviation N Pre - test score Female 28.25 8.172 8 Male 32.25 19.432 4 Total 29.58 12.221 12 Week 2 score Female 29.75 6.319 8 Male 39.75 13.889 4

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