Impact of Creative Writing Courses on Creativity Scores: A Comparative Analysis Using Dependent and Independent t Tests

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Impact of Creative Writing Courses on Creativity Scores: A ComparativeAnalysis Using Dependent and Independent t TestsAnalyzethe impact of a creative writing course on creativity scores using dependent andindependent t tests. Include exploratory data analysis, hypothesis formulation, and comparison ofresults. Present findings inAPA stylewith relevant SPSS output.Word Count:1,500 to 2,000 words

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will submit one Word document and one SPSS data file for this week. You will create the Worddocument by cutting and pasting SPSS output into Word. Please read the instructions below toensure you are pasting the correctmaterial into your assignment document.Begin by downloading the following SPSS data sets:Activity 6a.sav (found on the “additional resources” page)Activity 6c.sav (found on the “additional resources” page)Part A. Dependent t testIn this assignment, we are interested in finding out whether participation in a creative writingcourse results in increased scores of a creativity assessment. For this part of the assignment, youwill be using the data file “Activity 6a.sav”. In this file, “Participant” is the numeric studentidentifier, “CreativityPre” contains creativity pre-test scores, and “CreativityPost” containscreativity post-test scores. A total of 40 students completed the pre-test, took the creativitycourse, and then took the post-test.1.Exploratory Data Analysis/Hypotheses.1.Perform exploratory data analysis on CreativityPre and CreativityPost. UsingSPSS, calculate the mean and standard deviation of these two variables.2.Construct an appropriate chart/graph that displays therelevant information forthese two variables.3.Write the null and alternative hypotheses used to test the question above (e.g.,whether participation in the course affects writing scores).Output of Exploratory data analysis as performed in SPSS isshown below.Descriptive StatisticsNRangeMinimumMaximumMeanStd.DeviationVarianceCreativity pre-test4030265640.158.30468.951Creativity post-test4039205943.359.59892.131Valid N (listwise)40From the above output Iobserve that mean and standard deviation of Pre-test is 40.15 and 8.304.While that mean and standard deviation of Post-test is 43.35 and 9.598.Histogram representing mean and standard deviation for pre-test is shown below. Clearly itfollows Normal distribution.

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Histogram representing mean and standard deviation for post-test is shown below. Clearly itfollows Normal distribution.

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Null Hypothesis, Ho: there is no significant difference between creativity Pre-test and creativitypost-test. That is u1–u2 = 0Alternative Hypothesis:there is significant difference between creativity Pre-test and creativitypost-test.That is u1–u2is not equal to02.Comparison of Means1.Perform a dependent t test to assess your hypotheses above (note that manyversions of SPSS use the term “paired samples t test” rather than dependent t test;the test itself is the same.2.Write one or two paragraphs that describe the dataset, gives your hypothesis, andpresents the results of the dependent sample t test. Be sure that your writingconforms to APA style.Output obtained from SPSS by performing paired sample t test is shown below.Paired Samples StatisticsMeanNStd.DeviationStd. ErrorMean

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Pair 1Creativity pre-test40.15408.3041.313Creativity post-test43.35409.5981.518Paired Samples CorrelationsNCorrelationSig.Pair 1Creativity pre-test &Creativity post-test40.650.000Paired Samples TestPaired DifferencestdfSig. (2-tailed)MeanStd.DeviationStd.ErrorMean95% ConfidenceInterval of theDifferenceLowerUpperPair1Creativity pre-test-Creativitypost-test-3.2007.5761.198-5.623-.777-2.67139.011Here p-value = 0.011.Since, p-value is less than alpha (0.05), reject Ho at 5% level of significance and concludethereis significant difference between creativity Pre-test and creativity post-test. That is u1–u2 is notequal to 0Part B. Independent t testIn thisassignment, we will start with the data file used in Part A (“Activity 6a.sav”). Suppose,however, you [the researcher] encountered a small problem during data collection: after the post-tests were collected, you realized that the post-test form did not ask for the students’identification number. As such, it will be impossible to match pre-test scores to post-test scores.Rather than simply give up, you start thinking about the data you do have, and try to determinewhether you can salvage your project. In assessing the situation, you realize that you have 40pre-test scores and 40 post-test scores, but no way to link them. While it will result in a weakercomparison, you determine that you are still able to compare pre-test vs. post-test scores; youwill use a between-subjects design rather than a within-subjects design.1.Create the data set.1.Using the “Activity 6a.sav” file as a starting point, create a new dataset that youcan use with the between subjects design. Hint: you will no longer need thevariables Creative-Pre and Creative-Test. Instead, you have only one variable for

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