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Graduate Course Proposal Form Submission Detail - GEY6403
Tracking Number - 1713

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Current Status: Approved, Permanent Archive - 2007-06-28
Submission Type:
Course Change Information (for course changes only):

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:
  8. Prefix: GEY
  9. Number: 6403
  10. Full Title: Multivariate Statistical Analysis for Aging Resear
  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): MultivarStatAging
  19. Course Online?: -
  20. Percentage Online:
  21. Grading Option: R - Regular
  22. Prerequisites:
  23. Corequisites:
  24. Course Description: This course will give students experience with many of today's advanced statistical techniques. Primary emphasis will be on the description of these methods of analysis, situations in which their application is most appropriate, and hands-on experience.

  25. Please briefly explain why it is necessary and/or desirable to add this course: This class has been given several years in a row and has been a valuable addition to our PhD curriculum. All PhD students in Aging Studies are strongly encouraged to take this class. In addition, it is suitable for Graduate students who have an interest
  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? Although this course is not required for our PhD students, virtually all of them take it. In addition, although the course focuses on Research methods in aging, it is entirely appropriate for anyone in the psychosocial area.
  27. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes, we have offered this class five times as Selected Topics. We feel it is time to add this class to our regular offerings.
  28. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) PhD in Gerontology or related field.

    An interest and expertise in quantitative research methods is preferable.

  29. Objectives: The primary objective of the current course is to describe many of the advanced techniques that are in use today. The primary emphasis will be on the description of these methods of analysis, discussion of the situations in which their application is most appropriate, and hands-on experience with data analysis.
  30. Learning Outcomes: At the end of the semester, students will be able to:

    1. demonstrate understanding of a variety of statistical analysis methods and when the types of research questions for which they are most appropriate.

    2. explain the differences between mediation and moderation.

    3. write an empirical paper using some of the methods explained in class.

  31. Major Topics: Overview of SPSS and SAS

    Basic Statistical Analyses and Concepts

    Data Screening and Multiple Imputation

    Multiple Regression

    Mediation, Moderation, and More

    MANOVA and Multivariate GLM

    Analysis of Change General Issues

    Repeated Measures Analysis of Variance

    Random Effects/Mixed Models of Change

    Survival Analysis/Logistic Regression

    Exploratory Factor Analysis

    Confirmatory Factor Analysis

    Structural Equation Modeling

    Advanced Statistical Applications

  32. Textbooks: Tabachnick, B. G. & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Harper Collins College Division.

    Howell, D. C. (2006). Statistical methods for psychology (6th ed.). New York: Brooks Cole.

    Stevens, J. (2001). Applied multivariate statistics for the social sciences (4th ed.). Mahwah, NJ: Lawrence Erlbaum Associates.

  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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