Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - NGR7813
Tracking Number - 5172
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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
- Date & Time Submitted: 2015-01-14
- Department: Nursing
- College: NR
- Budget Account Number: 620100020
- Contact Person: Dewel Lindsey
- Phone: 8133969978
- Email: jlindsey@health.usf.edu
- Prefix: NGR
- Number: 7813
- Full Title: Design, Measurement, and Analysis in Nursing Research III
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?: N
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Des, Msmt, & Anal Nurs Res III
- Course Online?: C -
Face-to-face (0% online)
- Percentage Online: 0
- Grading Option:
R - Regular
- Prerequisites: NGR 7813
- Corequisites:
- Course Description: This course focuses on knowledge and mastery of a wide range of analytical principles and methods that are routinely used and critical for designing and conducting research studies, including disseminating research results in nursing science.
- Please briefly explain why it is necessary and/or desirable to add this course: Needed for program/concentration/certificate change
- 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
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? No
- 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
- Objectives: 1. Interpret research data examples from all levels of measurement using parametric versus non-parametric analyses done by the student.
2. Interpret research data examples using asymptotic versus exact methods of analysis.
3 Interpret distributions of data that student has graphically presented to be suitable for scientific presentations and manuscripts.
4. Interpret parametric and non-parametric correlational analyses conducted by the student, including methodological principles.
5. Interpret chi-square and related categorical methods of analysis calculated by the student.
6. Interpret research data analyzed by the student using analysis of variance (ANOVA) and analysis of covariance (ANCOVA), including explaining how these methods apply to appropriate study designs.
7. Distinguish between results of mediator and moderator analyses, while interpreting the results.
8. Interpret research data analyzed by the student using of linear regression, logistic regression, log-linear regression, and survival analysis, applying appropriate study designs
- Learning Outcomes: At the completion of this course the student will be able to distinguish between levels of measurement and between parametric and non-parametric methods, asymptotic versus exact methods of analysis, and continuous versus categorical methods of analysis.
At the completion of this course the student will be able to carry out and interpret results from a wide range of analytical principles and methods that are routinely used in nursing science research.
- Major Topics: Week 1. Levels of measurement and parametric vs. non-parametric analyses
Week 2. Asymptotic versus exact methods
Week 3. Presenting and comparing distributions of data
Week 4. Correlation
Week 5. Univariate categorical analyses
Week 6. ANOVA and ANCOVA I
Week 7. ANOVA and ANCOVA II
Week 8. Midterm Evaluation
Week 9. Mediation and Moderation
Week 10. Linear regression I
Week 11. Linear regression II
Week 12. Logistic and log-linear regression I
Week 13. Logistic and log-linear regression II
Week 14. Survival analysis
Week 15. Final Evaluation
- 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)
- Course Readings, Online Resources, and Other Purchases: Journal Article Readings: As Assigned
- Student Expectations/Requirements and Grading Policy:
- Assignments, Exams and Tests: Midterm Evaluation
Final Evaluation
- 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,
http://usfweb2.usf.edu/usfgc/ogc%20web/currentreg.htm)
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: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
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. It’s 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.
- Policy on Make-up Work:
- Program This Course Supports: PhD
- Course Concurrence Information: None
- if you have questions about any of these fields, please contact chinescobb@grad.usf.edu or joe@grad.usf.edu.