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Graduate Course Proposal Form Submission Detail - NGR7848
Tracking Number - 2355

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Current Status: Approved, Permanent Archive - 2011-06-30
Campus: Tampa
Submission Type: New
Course Change Information (for course changes only):
Comments: GC reviewed 10/4/10 - pending correction to description. Corrected 3/11/11. To GC. Instr. Qual. need correction - Corredted 4/4/11. apprd 4/18/11. to USF Syst 5/3/11. ready for scns 5/11/11; SCNS apprd effective 5/1/11. posted in banner


Detail Information

  1. Date & Time Submitted: 2010-06-22
  2. Department: Nursing
  3. College: NR
  4. Budget Account Number: HSC 006201-10000
  5. Contact Person: Mary Evans
  6. Phone:
  7. Email: mevans@health.usf.edu
  8. Prefix: NGR
  9. Number: 7848
  10. Full Title: Fundamentals of Statistics for Clinicians
  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): Fund of Stats for Clinicians
  19. Course Online?: C - Face-to-face (0% online)
  20. Percentage Online: 0
  21. Grading Option: R - Regular
  22. Prerequisites:
  23. Corequisites:
  24. Course Description: An overview of the statistical methods typically used in clinical research including the language and logic of these methods. Fundamental statistical theory and common nursing applications are covered.

  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? Previously, DNP students had taken a course in College of Public Health, but felt it was not tailored to meet their needs and prerequisite knowledge.

    Will replace NGR 7841 and its two other options in the DNP program.

  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.) Ph.D.
  29. Objectives: After successfully completing the course, the student should be able to:

    1. Describe appropriate application of means, proportions and correlations in clinical research.

    2. Apply descriptive and inferential statistics to researchable problems in clinical nursing practice.

    3. Explain the elements of power analysis in planning a study.

    4. Differentiate among sensitivity, specificity and positive and negative predictive value.

    5. Critically read quantitatively oriented clinical research articles with increased understanding.

  30. Learning Outcomes: After successfully completing the course, the student should be able to:

    1. Describe appropriate application of means, proportions and correlations in clinical research.

    2. Apply descriptive and inferential statistics to researchable problems in clinical nursing practice.

    3. Explain the elements of power analysis in planning a study.

    4. Differentiate among sensitivity, specificity and positive and negative predictive value.

    5. Critically read quantitatively oriented clinical research articles with increased understanding.

  31. Major Topics: Theoretical Foundations

    1. Descriptive statistics {central tendency, dispersion, rates, and proportions}

    2. Frequency distribut ions and graphing data

    3. Basic probability theory

    4. Sampling distributions

    5. Logic of hypothesis testing

    Common Applications

    6. Comparisons of means (zT-tests and ANOVA)

    7. Comparisons of rates and proportions ((X2 testing)

    8. Correlation coefficients

    9. Regression analysis (linear and logistic)

    Additional Topics (time permitting)

    10. Power, sample size, and effect size and planning a study

    11. Factor analysis in scale development

    12. Evaluating medical tests (sensitivity, specificity, predictive value positive, predictive value negative)

  32. Textbooks: Polit, D.F. (2010). Statistics and data analysis for nursing research, 2nd ed. Upper Saddle River, NJ: Pearson Education Inc.
  33. Course Readings, Online Resources, and Other Purchases: Assignments, exams and tests: Grades will be determined based on 3 in-class examinations, each worth 33% of the course grade.
  34. Student Expectations/Requirements and Grading Policy: Final grades will be based on the following percentages:

    98-100 = A+, 95-97 = A, 93-94 = A-, 90-92 = B+, 86-89 = B, 84-85 = B-, 81-83 = C+,

    78-80 = C, 75-77 = C-, 72-74 = D+, 69-71 = D, 67-68 = D-, 66 or less = F.

  35. Assignments, Exams and Tests: Assignments, exams and tests: Grades will be determined based on 3 in-class examinations, each worth 33% of the course grade.

    Topical Outline:

    Theoretical Foundations

    1. Descriptive statistics (central tendency, dispersion, rates, and proportions)

    2. Frequency distributions and graphing data

    3. Basic probability theory

    4. Sampling distributions

    5. Logic of hypothesis testing

    Common Applications

    6. Comparisons of means (t-tests and ANOVA)

    7. Comparisons of rates and proportions (χ2 testing)

    8. Correlation coefficients

    9. Regression analysis (linear and logistic)

    Additional Topics (time permitting)

    10. Power, sample size, and effect size and planning a study

    11. Factor analysis in scale development

    12. Evaluating medical tests (sensitivity, specificity, predictive value positive, predictive

    value negative)

  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,

    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.

  37. Policy on Make-up Work:
  38. Program This Course Supports: D.N.P.
  39. Course Concurrence Information: Other graduate clinician programs, contingent upon permission of instructor.


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