Use the f inal data set (link is online) to answer the questions. This is a part of a data set used by one of my thesis students. Yes, real data. She was looking different performance measures at the beginning and at the end of 3 different courses last semester. Specifically, she wanted to know if there was a change in scores on a Career Thoughts Inventory, which measured several different things about how worried students were about choosing a career (higher numbers mean students are more worried or have more negative emotions). Here is an explanation of some of the variables. Read this!

1. Class: 1=Getting into graduate school class; 2= Finding a Job in Psychology class; 3= Leadership class
2. DMC: Decision-making confusion (how confused are you about your options in terms of a career)
3. EC: External conflict (how much do important people in your life stress you out about making a career decision)
4. CA: Commitment anxiety (how anxious are you about committing to one career).
5. Percent Right: what percent correct did students score on the questions about psychology careers
6. OBJ: how well have you met the course objectives.
7. All of these have pre & post measures (variables will say Pre or Post).

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For each of the following questions, choose the appropriate statistic, explain why you used that statistic, and state your conclusion with regard to the original variables. For instance, state your statistic and p-value, then say what that means with regard to the question (e.g., group A and B are different). Make sure to include the necessary tables and graphs from SPSS as well as your responses.

1. Is there a difference between men & women on how well they scored on the pre-test (Percentright PRE)? Is there a difference between how men & women scored on the post-test (Percent right POST)? Explain your answer. You will run two separate statistics here. 5 pts.
2. Describe the relationships among the pre-measures: PreDMC, preCA, & preEC. Would total pre-test score be a good predictor of PostDMC? Explain. 10 pts.
3. Did students change from the pre test to post-test on the DMC, CA, or EC measures? Explain the nature (i.e., direction and amount) of any differences. You will run three separate statistics here. 10 pts.
   CA
   
   The mean for PRE is 12.2941 (SD = 5.45288), the mean for POST is 11.0588 (SD = 5.93286). The test shows that there is a significant difference between PRE and POST, t(84) = 2.669, p < 0.01. In fact, the mean difference PRE – POST is significantly greater than 0.
   EC
   
   The mean for PRE is 3.1818 (SD = 2.85087), the mean for POST is 3.2045 (SD = 2.86541). The test shows that there is NOT a significant difference between PRE and POST, t(87) = -0.083, p > 0.05.
4. You are interested in looking at the differences between males and females across the different classes (Leadership and Getting into Graduate school) on postobjgrad (this is their post test score). Describe your results thoroughly and include a graph (include an explanation of the graph). In this question, you are only using 2 of the 3 classes. 15 pts
5. Do the three classes (Leadership, Finding a Job, and Getting into Graduate school) differ on GPA of students enrolled? Show the appropriate statistics (with the means and standard deviations) and explain your answer. Make sure to do all the appropriate analyses (HINT, HINT). 15 pts

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