Create an MS Word document by cutting and pasting SPSS output into the document. Please read the instructions below to ensure you are pasting the correct material into your document.

Complete the following:

Part A In this part, we determine whether participation in a creative writing course results in increased scores of a creativity assessment. For Section A, you will be using the data file Activity 4a.sav. In this file, Participant is the numeric student identifier, CreativityPre contains creativity pre-test scores, and CreativityPost contains creativity post-test scores. A total of 40 students completed the pre-test, took the creativity course, and then took the post-test.

1. Exploratory Data Analysis/Hypotheses.
   1. Perform exploratory data analysis on CreativityPre and CreativityPost. Using SPSS, calculate the mean and standard deviation of these two variables.
   2. Construct an appropriate chart/graph that displays the relevant information for these 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).
2. Comparison of Means
   1. Perform a dependent t test to assess your hypotheses above (note that many versions 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, and presents the results of the dependent sample t test. Be sure that your writing conforms to APA style.

Part B In Part B, we will start with the data file used in Section A (Activity 4a.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 determine whether you can salvage your project. In assessing the situation, you realize that you have 40 pre-test scores and 40 post-test scores, but no way to link them. While it will result in a weaker comparison, you determine that you are still able to compare pre-test vs. post-test scores; you will use a between-subjects design rather than a within-subjects design.

1. Create the data set.
   1. Using the Activity 4a.sav file as a starting point, create a new dataset that you can use with the between subjects design. Hint: you will no longer need the variables CreativePre and CreativeTest. Instead, you have only one variable for the score on the creativity test. A second (or grouping) variable will serve to indicate which test the student took.
   2. Submit the dataset as one of the assignment files. Name the file in the following format: lastnamefirstinitialEDU8006-4a.sav (example: smithbEDU8006-4a.sav).
2. Exploratory Data Analysis/Hypotheses.
   1. Perform exploratory data analysis on CreativityPre and CreativityPost. Using SPSS, calculate the mean and standard deviation of these two variables.
   2. Construct an appropriate chart/graph that displays the relevant information for these 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).
3. Comparison of Means
   1. Perform an independent t test to assess your hypotheses above (note that many versions of SPSS use the term independent samples t test rather than simply independent t test.
   2. Write one or two paragraphs that describe the dataset, give your hypothesis, and present the results of the independent sample t test. Be sure that your writing conforms to APA style.
4. Comparison of Designs
   1. Use the same dataset to analyze both a between- and within-subjects design. Create a single paragraph (using the material you wrote above), that presents both sets of results.
   2. Explain, in 300-500 words, whether the two tests resulted in the same findings. Did you expect this to be the case? Why or why not? What have you learned in this section?

Part C All of us have had our blood pressure measured while at our physicians office. How accurate are these measurements? It may surprise you to learn that there is something called white coat syndromethe tendency of some people to exhibit elevated blood pressure in clinical (medical) settings only. In other words, for these people the very fact that the physician is taking their blood pressure causes it to increase (for more information about white coat syndrome see http://www.webmd.com/anxiety-panic/features/beyond-white-coat-syndrome).

In this section, you will be using the Activity 4c.sav data file to determine whether you find support for the existence of white coat syndrome. In this study, 60 participants were randomly assigned to one of three groups. The settings variable indicates the location in which the participants blood pressure was recorded: 1=home, 2=in a doctors office, and 3=in a classroom setting. The SystolicBP variable contains the participants systolic pressure (the upper number). The DiastolicBP variable contains the participants diastolic pressure (the lower number).

1. Exploratory Data Analysis/Hypotheses.
   1. Perform exploratory data analysis on both the SystolicBP and DiastolicBP variables. Using SPSS, calculate the mean and standard deviation of these two variables. Be sure that your analysis is broken down by setting (e.g., you will have six means, six SDs, etc.).
   2. Create two graphsone for systolic and one for diastolic pressure. Each graph should clearly delineate the three groups.
   3. Write a null and alternative hypothesis for the comparison of the three groups (note that your hypothesis will state that the three groups are equivalent; be sure to word your null hypothesis correctly).
2. ANOVA.
   1. Using the Activity 4c.sav data file, perform two single factor ANOVAs: one using SystolicBP and one using DiastolicBP as the dependent variable.
   2. If appropriate for either or both of the ANOVAs, perform post hoc analyses to determine which groups actually differ.
   3. WriteoneparagraphforeachANOVA(besuretouseAPAstyle).Atabareminimum,eachparagraphshouldcontainthethreemeans,threeSDs,ANOVAresults(F,df),posthoctests(ifapplicable),effectsize,andaninterpretationoftheseresult
3. 1. Question5

Create an MS Word document by cutting and pasting SPSS output into the document. Name the file in the following format: lastnamefirstinitialEDU8006-5.doc (example: smithbEDU8006-5A.doc).

Complete the following: Use an existing dataset to compute a factorial ANOVA. All SPSS output should be pasted into your document. The Activity 5a.sav file contains a dataset of a researcher interested in finding the best way to educate elementary age children in mathematics. In particular, she thinks that 5th grade girls do better in small class sizes while boys excel in larger classes. Through the school district, she has arranged a pilot program in which some classroom sizes are reduced prior to the state-wide mathematics competency assessment. In the dataset, you will find the following variables:

• Participant: unique identifier
• Gender: Male (M) or Female (F)
• Classroom:
• Small (1) no more than 10 children
• Medium (2) between 11 and 19 children
• Large (3) 20 or more students
• Score final score on the statewide competency assessment.

Complete the following:

1. Exploratory Data Analysis.
   1. Perform exploratory data analysis on all variables in the data set. Realizing that you have six groups, be sure that your exploratory analysis is broken down by group. When possible, include appropriate graphs to help illustrate the dataset.
   2. Give a one to two paragraph write up of the data once you have done this.
   3. Create an APA style table that presents descriptive statistics for the sample.
2. Factorial ANOVA. Perform a factorial ANOVA using the Activity 5a.sav data set.
   1. 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).
   2. Is there a main effect of classroom size? If so, explain the effect. Use post hoc tests when necessary (or explain why they are not required in this specific case).
   3. Is there an interaction between your two variables? If so, using post hoc tests, describe these differences.
   4. Is there support for the researchers hypothesis that girls would do better than boys in classrooms with fewer students? Explain your answer.
   5. 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