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Graduate Course Proposal Form Submission Detail - CCJ6707
Tracking Number - 2756

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Current Status: Approved by SCNS - 2014-12-09
Campus: Tampa
Submission Type: Change
Course Change Information (for course changes only): We are reducing the credit hours from 4 to 3 credit hours (indicated in box "j") for this course as part of a complete revision of the Department of Criminology graduate curriculum and to better reflect the course requirements.
Comments: For PhD in Crim. Credit hour change. to Chair 5/2/14. Approved 5/19/14. To USF Sys 5/20/14. to SCNS 5/28/14. Apprd eff 11/1/14

Detail Information

  1. Date & Time Submitted: 2012-02-09
  2. Department: Criminology
  3. College: BC
  4. Budget Account Number: 122100000
  5. Contact Person: Lorie Fridell
  6. Phone: 8139746862
  7. Email: lfridell@usf.edu
  8. Prefix: CCJ
  9. Number: 6707
  10. Full Title: Quantitative Analysis in Criminology II
  11. Credit Hours: 3
  12. Section Type: C - Class Lecture (Primarily)
  13. Is the course title variable?: N
  14. Is a permit required for registration?: N
  15. Are the credit hours variable?: N
  16. Is this course repeatable?: N
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): Quant Analysis in Crim II
  19. Course Online?: C - Face-to-face (0% online)
  20. Percentage Online: 100
  21. Grading Option: R - Regular
  22. Prerequisites: CCJ 6706
  23. Corequisites:
  24. Course Description: Introduction to multivariate regression analyses for criminology students.

  25. Please briefly explain why it is necessary and/or desirable to add this course: Needed for program/concentration/certificate change
  26. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? See below.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Expertise in Statistics.
  29. Objectives: The objectives of this is to demonstrate the conceptual and analytic tools necessary to understand, conduct, and think critically about methodologically rigorous research.
  30. Learning Outcomes: Upon completion of this course, a student will be able to:

    • Identify the key assumptions underlying OLS regression and the situations in which OLS regression is appropriate.

    • Demonstrate an understanding of and the ability to apply ordinary least squares regression.

    • Identify the key assumptions underlying regression models of limited dependent variables and the situations in which these models are appropriate.

    • Demonstrate an understanding of and the ability to apply regression models for limited dependent variables.

  31. Major Topics: Multivariate regression analyses
  32. Textbooks: Allison, Paul D. 2012. Logistic regression using SAS System (2nd edition). Cary, NC: SAS Institute

    (ISBN: 978159994612)

    McClendon, McKee J. 1994. Multiple regression and causal analysis. Long Grove, IL: Waveland

    (ISBN: 1577662431).

  33. Course Readings, Online Resources, and Other Purchases:
  34. Student Expectations/Requirements and Grading Policy:
  35. Assignments, Exams and Tests:
  36. Attendance Policy:
  37. Policy on Make-up Work:
  38. Program This Course Supports: Criminology MA
  39. Course Concurrence Information:


- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.