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Graduate Course Proposal Form Submission Detail - NGR7814
Tracking Number - 5173

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Current Status: Approved by SCNS - 2015-10-01
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: For PhD in Nursing. Required. To GC. Appd 3/6/15; to USF 8/28/15; to SCNS 9/7/15. Approved effective 10/1/15

Detail Information

  1. Date & Time Submitted: 2015-01-14
  2. Department: Nursing
  3. College: NR
  4. Budget Account Number: 620100020
  5. Contact Person: Dewel Lindsey
  6. Phone: 8133969978
  7. Email:
  8. Prefix: NGR
  9. Number: 7814
  10. Full Title: Design, Measurement, and Analysis in Nursing Research IV
  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): Des, Msmt, & Anal Nurs Res IV
  19. Course Online?: C - Face-to-face (0% online)
  20. Percentage Online: 0
  21. Grading Option: R - Regular
  22. Prerequisites: 7813
  23. Corequisites:
  24. Course Description: This course focuses on obtaining working knowledge and proficiency in a range of advanced analytical principles and methods that may be used in the design and analysis of nursing science research.

  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? Required course, offered once per year
  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.) PhD in nursing, research design, epidemiology, or comparable discipline
  29. Objectives: 1. Interpret research data examples from statistical models that include fixed and random effects.

    2. Based on the research design and statistical basis, interpret research data analyzed by use of linear mixed models and generalized estimating equations.

    3. Interpret research results based on the research design and statistical basis, for data analyzed by use of factor analysis, path analysis, and structural equation modeling (SEM).

    4. Interpret ancillary analytical methods you have used including stratified, sensitivity, secondary data, cost-effectiveness, and meta analyses, giving the purpose of each.

    5. Describe steps in a plan for developing usable, valid and reliable scales to measure relevant research variables.

  30. Learning Outcomes: At the completion of this course the student will be able to carry out and interpret results from a wide range of advanced statistical methods that may be applicable to the design and analysis of nursing science research.

    At the completion of this course the student will be able to carry out and interpret results from a wide range of ancillary statistical methods that may be applicable to the design and analysis of nursing science research.

    At the completion of the course the student will be able to create a plan for developing a new behavioral measure for relevant research variables.

  31. Major Topics: Week 1. Fixed effects vs. random effects

    Week 2. Linear mixed model and longitudinal analyses I

    Week 3. Linear mixed model and longitudinal analyses II

    Week 4. Generalized estimating equations

    Week 5. Factor analysis for evaluating measures

    Week 6. Path analysis and SEM I

    Week 7. Path analysis and SEM II

    Week 8. Midterm Evaluation

    Week 9. Stratified analyses

    Week 10. Sensitivity analyses

    Week 11. Secondary data analysis I

    Week 12. Secondary data analysis II

    Week 13. Cost effectiveness analysis

    Week 14. Meta-analysis

    Week 15. Final Evaluation

  32. Textbooks: Waltz, CF. Strickland, O.L. & Lenz, E.R. (2010). Measurement in Nursing and Health Research (4th ed.). New York: Springer Publishing Company. (ISBN # 0-8261-2635-9)

    Merrill, RM (2013). Fundamentals of Epidemiology and Biostatistics: Combining the Basics. Burlington, MA: Jones & Bartlett Learning (ISBN # 978-1-4496-6753-5)

  33. Course Readings, Online Resources, and Other Purchases: Journal Article Readings: As Assigned
  34. Student Expectations/Requirements and Grading Policy:
  35. Assignments, Exams and Tests: Midterm Evaluation

    Final Evaluation

  36. Attendance Policy: Course Attendance at First Class Meeting Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation Registration - 4.0101,

    Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (

    In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. Its the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.

  37. Policy on Make-up Work:
  38. Program This Course Supports: PhD
  39. Course Concurrence Information: None

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