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NURS 775 Statistical Methods for Nursing Research I: Univariate Methods
Credit hours: 3 per Semester
Cluster: Research Methodology, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods


Course Level: Doctoral Foundational

Course Type: PhD


Course Open to: PhD Students

Institution:University of Nevada Las Vegas

Pre-requisites: Admission into a doctoral program or permission of instructor; successful completion of a graduate level research methods course.

Course Description: This course presents descriptive and inferential techniques which are most commonly used in nursing research. The emphasis is on the conceptualization of the technique and the ability to select appropriate statistical methods to answer a research question or test a hypothesis. The course also offers an introduction to data management with Microsoft (MS) Excel, data analysis using Statistical Package for Social Science (SPSS), and data collection via Internet survey techniques using ‘Survey Monkey’. COURSE OBJECTIVES: 1. To understand conceptual principles of statistical testing 2. To be able to perform common statistical testing and interpret the results of commonly encountered statistical procedures including parametric, non-parametric, and psychometric statistical tests. 3. To become familiar with use of MS Excel and SPSS computer software. 4. To become familiar with Internet based survey applications such as Survey Monkey. 5. To examine and evaluate the appropriateness of the statistical procedures commonly found in the peer-reviewed literature CENTRAL FOCUS OF COURSE: rESEARCH


Method of Instruction: Asynchronous

Delivery Platform: PLATFORM: Blackboard Learn

Campus visits required: none

Course Contact: Campus Staff Coordinator: Jennifer Sancehz



Tuition: NEXus Common Price


Other considerations: Spring 2019 classes begin January 7, 2019 and end April 26, 2019. Please contact Please contact Jennifer Sanchez ( by December 3, 2018 in order to be enrolled for the Spring 2019 semester.


Available Seats by Semester for this course:



Section: 1002
Credits: 3 / Semester


Section: 1002
Instructor:Dr. Du Feng
Credits: 3 / Semester

Please advise as to the name of student so we can let the course instructor know. Thanks, Jennifer Kawi Doctoral Program Director


Section: 1002
Instructor:Du Feng
Credits: 3 / Semester


Section: 1002
Instructor:Du Feng, PhD
Credits: 3 / Semester

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