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You will submit one Word document and one SPSS data file. You will create the Word document by cutting and pasting SPSS output into Word.Ãƒâ€šÃ‚Â

**Part A. Dependent t test**

For this assignment, we are interested in finding out whether participation in a creative writing course results in increased scores of a creativity assessment. For this part of the activity, you will be using the data file ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œActivity 4a.savÃƒÂ¢Ã¢â€šÂ¬Ã‚Â. In this file, ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œParticipantÃƒÂ¢Ã¢â€šÂ¬Ã‚Â is the numeric student identifier, ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œCreativityPreÃƒÂ¢Ã¢â€šÂ¬Ã‚Â contains creativity pre-test scores, and ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œCreativityPostÃƒÂ¢Ã¢â€šÂ¬Ã‚Â contains creativity post-test scores. A total of 40 students completed the pre-test, took the creativity course, and then took the post-test.

- Exploratory Data Analysis/Hypotheses
- Perform exploratory data analysis on CreativityPre and CreativityPost. Using SPSS, calculate the mean and standard deviation of these two variables.
- Construct an appropriate chart/graph that displays the relevant information for these two variables.
- Write the null and alternative hypotheses used to test the question above (e.g., whether participation in the course affects writing scores).
- Comparison of Means
- Perform a dependent t test to assess your hypotheses above (note that many versions of SPSS use the term ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œpaired samples t testÃƒÂ¢Ã¢â€šÂ¬Ã‚Â rather than ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œdependent t testÃƒÂ¢Ã¢â€šÂ¬Ã‚Â; the test itself is the same.
- In APA style, write one or two paragraphs that describe the dataset, gives your hypothesis, and presents the results of the dependent sample t test.

**Part B. Independent t test**

We will start with the data file used in Part A (ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œActivity 4a.savÃƒÂ¢Ã¢â€šÂ¬Ã‚Â). 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 studentsÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢ 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.

- Create the data set.
- Using the ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œActivity 4a.savÃƒÂ¢Ã¢â€šÂ¬Ã‚Â 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.
- Submit the dataset as one of the Activity 4 files.
- Exploratory Data Analysis/Hypotheses.
- Perform exploratory data analysis on CreativityPre and CreativityPost. Using SPSS, calculate the mean and standard deviation of these two variables.
- Construct an appropriate chart/graph that displays the relevant information for these two variables.
- Write the null and alternative hypotheses used to test the question above (e.g., whether participation in the course affects writing scores).
- Comparison of Means
- Perform an independent t test to assess your hypotheses above.
- In APA style, write one or two paragraphs that describe the dataset, gives your hypothesis, and presents the results of the dependent sample t test.
- Comparison of Designs
- You used 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.
- 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 assignment?

**Part C. ANOVA**

All of us have had our blood pressure measured while at our physicianÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢s office. How accurate are these measurements? It may surprise you to learn that there is something called ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œwhite coat syndromeÃƒÂ¢Ã¢â€šÂ¬Ã‚ÂÃƒÂ¢Ã¢â€šÂ¬Ã¢â‚¬Âthe 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 In this activity, you will be using the ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œActivity 4c.savÃƒÂ¢Ã¢â€šÂ¬Ã‚Â 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 ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œsettingsÃƒÂ¢Ã¢â€šÂ¬Ã‚Â variable indicates the location in which the participantsÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢ blood pressure was recorded: 1=home, 2=in a doctorÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢s office, and 3=in a classroom setting. The ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œSystolicBPÃƒÂ¢Ã¢â€šÂ¬Ã‚Â variable contains the participantsÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢ systolic pressure (the ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œupperÃƒÂ¢Ã¢â€šÂ¬Ã‚Â number). The ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œDiastolicBPÃƒÂ¢Ã¢â€šÂ¬Ã‚Â variable contains the participantÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢s diastolic pressure (the ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œlowerÃƒÂ¢Ã¢â€šÂ¬Ã‚Â number).

- Exploratory Data Analysis/Hypotheses.
- 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 SDÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢s, etc.).
- Create two graphsÃƒÂ¢Ã¢â€šÂ¬Ã¢â‚¬Âone for systolic and one for diastolic pressure. Each graph should clearly delineate the three groups.
- 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).
- ANOVA.
- Using the ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œActivity 4c.savÃƒÂ¢Ã¢â€šÂ¬Ã‚Â data file, perform two single factor ANOVAs: one using SystolicBP and one using DiastolicBP as the dependent variable.
- If appropriate for either or both of the ANOVAs, perform post hoc analyses to determine which groups actually differ.
- Write one paragraph for each ANOVA (be sure to use APA style). At a minimum, each paragraph should contain the three means, three SDÃƒÂ¢Ã¢â€šÂ¬Ã¢â€žÂ¢s, ANOVA results (F, df), post hoc tests (if applicable), effect size, and an interpretation of these results.

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Subject | Mathematics |

Due By (Pacific Time) | 12/05/2014 11:00 pm |

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