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Graduate Course Proposal Form Submission Detail - NGR7812

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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


  1. Department and Contact Information

    Tracking Number Date & Time Submitted
    5171 2015-01-14
     
    Department College Budget Account Number
    Nursing NR 620100020
     
    Contact Person Phone Email
    Dewel Lindsey 8133969978 jlindsey@health.usf.edu

  2. Course Information

    Prefix Number Full Title
    NGR 7812 Design, Measurement, and Analysis in Nursing Research II

    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

    Credit Hours Section Type Grading Option
    3 C - Class Lecture (Primarily) R - Regular
     
    Abbreviated Title (30 characters maximum)
    Des, Msmt, & Anal Nurs Res II
     
    Course Online? Percentage Online
    C - Face-to-face (0% online) 0

    Prerequisites

    NGR 7810

    Corequisites

    Course Description

    This course focuses on concepts to design & carry out research in nursing science; including methods to minimize bias & increase study precision, classification & interpretation of research data, & use of probability to estimate health-related quantities.


  3. Justification

    A. Please briefly explain why it is necessary and/or desirable to add this course.

    Needed for program/concentration/certificate change

    B. 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

    C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?

    No

    D. 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


  4. Other Course Information

    A. Objectives

    1. Describe the roles that chance, bias, and confounding play in designing studies and interpreting data from research studies.

    2. Demonstrate how logic and theoretical models may be used to shape research designs, instrument development, and hypotheses.

    3. Describe conceptual principles for conducting and interpreting calculations related to validity, reproducibility, and reliability of research data.

    4. Describe characteristics of the design, development, and use of psychometrically valid research instruments.

    5. Interpret the quantities sensitivity, specificity, predictive value positive, predictive value negative, and number needed to treat.

    6. State considerations and methodological principles for appropriate use and analysis of biological data in research studies.

    7. State considerations and methodological principles for use of continuous versus categorical research data and linear versus non-linear relationships.

    8. Interpret research data analyzed by the student based on the normal, binomial, and poisson distributions.

    9. Calculate estimates of sample size and statistical power needed for proper study design.

    10. Evaluate psychometric qualities of measures of selected instruments using measurement theory.

    B. Learning Outcomes

    At the completion of this course the student will be able to describe, interpret, and calculate sources of bias and factors that affect validity, reproducibility, and reliability of research studies and measures.

    At the completion of this course the student will be able to interpret and calculate clinical classification measures and estimates of sample size and statistical power.

    At the completion of this course the student will be able to select appropriate measurement techniques for biological, continuous, categorical, and non-linear research data.

    At the completion of this course, the student will be able to interpret and estimate probabilities of health-related quantities based on the normal, binomial, and poisson distributions.

    C. Major Topics

    Week 1. Chance, bias, and confounding

    Week 2. Use of logic and theoretical models

    Week 3. Internal and external validity

    Week 4. Reliability and validity of instruments

    Week 5. Principles of instrument selection and development I

    Week 6. Principles of instrument selection and development II

    Week 7. Sensitivity, specificity, predictive value positive and negative, number needed to treat

    Week 8. Midterm Evaluation

    Week 9. Measurement of biological data

    Week 10. Continuous versus categorical classifications

    Week 11. Linear versus non-linear relationships

    Week 12. Probability distributions I

    Week 13. Probability distributions II

    Week 14. Sample size and power estimation

    Week 15. Final Evaluation

    D. 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)

    E. Course Readings, Online Resources, and Other Purchases

    Journal Article Readings: As Assigned

    F. Student Expectations/Requirements and Grading Policy

    G. Assignments, Exams and Tests

    Midterm Exam

    Final Exam

    H. 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. 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.

    I. Policy on Make-up Work

    J. Program This Course Supports

    PhD


  5. Course Concurrence Information

    None



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