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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.