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Graduate Course Proposal Form Submission Detail - GEY6402
Tracking Number - 1714

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Current Status: Approved, Permanent Archive - 2007-06-21
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Detail Information

  1. Date & Time Submitted: 2007-01-22
  2. Department: School of Aging Studies
  3. College: AS
  4. Budget Account Number: 0122900
  5. Contact Person: Sandra Reynolds
  6. Phone: x9750
  7. Email: sreynold@cas.usf.edu
  8. Prefix: GEY
  9. Number: 6402
  10. Full Title: Statistical & Qualitative Methods in Aging Researc
  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?:
  17. If repeatable, how many times?: 0
  18. Abbreviated Title (30 characters maximum): StatQual Methods Aging
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites:
  23. Corequisites:
  24. Course Description: The major goal of this course is to deliver fundamental quantitative and qualitive research concepts that are useful in aging research. Other goals include hands-on exposure to secondary data analysis.

  25. Please briefly explain why it is necessary and/or desirable to add this course: In prior years, we have asked our PhD students who arrive without research methods experience to take our Graduate Level Course, GEY 6450, Gerontology Research and Planning. This is a Master's Level course, and it is not really designed for doctoral leve
  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? We admit 5-7 new PhD students each year. Most of our new PhD students would need this course. In addition, the methods studied her would appeal to anyone interested in general research methods in the social sciences.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, three times.
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) Ph.D. in Gerontology or related discipline.

    Current research agenda is preferable.

  29. Objectives: The major goal of this course is to introduce fundamental quantitative and qualitive research concepts that are useful in aging research. Topics address will include research design, data manipulation, formation of research questions, quantitative statistical methods, and qualitative research techniques.
  30. Learning Outcomes: After successfully completing this course, students will be able to:

    1. demonstrate skills in qualitative and quantitative research design, measurement, data analysis, and knowledge dissemination;

    2. perform various data analyses using SPSS and present outcomes in an appropriate format;

    3. show familiarity with well-established measurement tools used in the field of aging;

    4. interpret results of published articles; and

    5. develop hypotheses and determine appropriate analytic strategies

  31. Major Topics: Publicly Available Datasets

    Introduction to Survey Research

    Basics in Data Management

    Descriptive Statistics

    Asking Survey Questions

    Inferential Statistics

    - t test, ANOVA, Chi square

    Self-Administered and Mail Surveys

    Correlation

    Factor analysis

    Multiple Regression (linear regression and logistic regression)

    Multivariate Analysis of Variance

    Qualitative Methods

  32. Textbooks: The Survey Kit: 2nd Edition, 2003. Edited by Arlene Fink. Sage Publications.

    American Psychological Association, 1995. Reading and Understanding Multivariate Statistics. Edited by Laurence Grimm and Paul Yarnold.

    Berg, Bruce. 2004. Qualitative Research Methods for the Social Sciences, 5th Edition. Allyn and Bacon Publisher.

  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:


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