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Graduate Course Proposal Form Submission Detail - SYA6440
Tracking Number - 2084

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Current Status: Approved, Permanent Archive - 2003-05-15
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Detail Information

  1. Date & Time Submitted: 2003-05-16
  2. Department: Sociology
  3. College: AS
  4. Budget Account Number: 126300000
  5. Contact Person: James Cavendish
  6. Phone: 9742633
  7. Email: jcavendi@luna.cas.usf.edu
  8. Prefix: SYA
  9. Number: 6440
  10. Full Title: SPSS and Social Research
  11. Credit Hours: 3
  12. Section Type: L - Laboratory
  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?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): SPSS and Social Research
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites: Research Methods and Statistics
  23. Corequisites: none
  24. Course Description: Provides students with practical experience using SPSS (Statistical Package for the Social Sciences). Introduces students to measurement of sociological variables, data processing, and various parametric and nonparametric data analysis procedures.

  25. Please briefly explain why it is necessary and/or desirable to add this course: xx
  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? xx
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? xx
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) xx
  29. Objectives: Provide graduate students with practical experience using SPSS for Windows and do data analysis with both primary and secondary data in the social sciences
  30. Learning Outcomes: Demonstrate ability to measure sociological variables; Demonstrate ability to perform non parametric and parametric data analysis; Demonstrate ability to apply data analysis techniques to analyze existing data bases.
  31. Major Topics: Introduction to Elementary Data Analysis and Running SPSS for Windows; Getting Started with SPSS; Working with Data in SPSS; Describing the Sample; T-test Procedures; Univariate and Multivariate Analysis-of-Variance Techniques I and II; Correlation and Bivariate Analysis; Multiple Linear Regression Analysis; Logistic Regression Analysis; Scaling Procedures; Nonparametric Procedures I and II.
  32. Textbooks: Using SPSS for Windows: Analyzing and Understanding Data (Second Edition); Linear Probability, Logit, and Probit Models
  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:
  39. Course Concurrence Information:


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