Course Description
Applied descriptive and inferential statistics for nursing and health care research. Principles of hypothesis testing, inference, estimation, correlation, regression, and analysis of variance. Emphasis on selection of analysis and interpretation of results. Prerequisite: Admission to Ph.D. in Nursing and completion of a course in inferential statistics or permission of instructor.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Describe inferential statistics and the application to nursing and healthcare research.
- Select appropriate statistical methods for answering research questions/testing hypotheses.
- Utilize statistical software programs to manage and analyze data.
- Analyze quantitative data in nursing and health care research.
- Evaluate the use of inferential statistics in nursing and health care research.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Homework assignments | 30% |
| Mid-Semester Examination | 25% |
| Final Examination | 30% |
| Participation | 15% |
Grading Scale:
| Percentage | Letter Grade |
|---|---|
| 100-93 | A |
| 92-85 | B |
| 84-77 | C |
| 76 or less | F |
Attendance/Participation:
Regular class attendance is a responsibility and a privilege of university education. It is fundamental to the orderly acquisition of knowledge. Students should recognize the advantages of regular class attendance, accept it as a personal responsibility, and apprise themselves of the consequences of poor attendance.
Attendance is a critical component of this course and is factored into your overall grade. Active participation is essential for your learning and success in this class.
Planned Absences: If you know you will be absent, you are required to notify the instructor via email as soon as possible and before the scheduled date of absence.
Extenuating Circumstances: In cases of emergencies or unforeseen circumstances that require your absence, please inform the instructor via email as soon as possible. Include details about the situation and, if appropriate, provide supporting documentation.
Course Materials Purchased by the Students:
Statistics with R: Solving Problems Using Real-World Data, 1st ed. Sage Publications, Inc. ISBN-13: 9781506388151
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.