Attached to this post is an SPSS data file containing two variables: SAT-Math group, and Fall-to-Fall Persistence outcomes of first year college students. The dichotomized SAT-Math variable has two levels coded 0 or 1. Students that scored below the mean on the SAT-Math were assigned a code of 0, and students that scores above the mean were assigned a code or 1. The binary Persistence variable is coded 0 for dropout, and 1 for persistence. That is, students that did not persist into the second year of college (dropped out) were given a code of 0, and students that did persist into the second were given a code of 1. The research question is, are SAT-Math levels (the IV) predictive of year-to-year persistence (the DV) among 1st year college students. The assignment is to conduct a simple logistical regression to determine or SAT-performance is related to term-to-term persistence among college students.

Summarize the results for the logistical regression using correct APA style. Use my sample summary as a model for you summary.

Be sure to:

Report and interpret for the

1) findings for the significance of the overall model

2) The Conditional Probabilities and the Risk Ratio

3) The Conditional Odds and the Odds Ratio

4) The slope and the intercept.

The Chi-square test is optional but I would encourage you to conduct it, and to summarize the results for it. See my sample summary. In the Week 1 Review discussion board I provided a sample summary and spss data file for the Chi-square test. I instructed students to reproduce the findings and to post questions on the the analysis or summary. If you didn’t post a question, that I had to assume that you understand the Chi-square test. What else should I think?

Please do not post the solutions or interpretations for the assignment data/problems. Each student is responsible for analyzing, interpreting, and summarizing the data. It must be their own original work. Students should not consult with one another or their tutors on the assignment problems. I’ve created the in-class problems for all students and their tutors to work on together.

You should not use my footnotes and references in your summaries.