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COURSE DETAIL

NURS 780 Quantitative Methods in Nursing
Credit hours: 3 per Semester
Cluster: Research Methodology, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods,Statistical Analysis
http://catalog.unlv.edu/index.php?catoid=17

 

Course Level: Doctoral Foundational

Course Type: PhD

IPE: No

Course Open to: PhD Students

Institution:University of Nevada Las Vegas

Pre-requisites: Admission into doctoral program or permission of instructor

Course Description: The course examines qualitative, quantitative and mixed-method approaches used in nursing research. COURSE OBJECTIVES: STUDENT LEARNING OUTCOMES: 1. Understand the foundations of nursing education research and comprehend the application of qualitative, quantitative and mixed-method approaches to study various aspects of nursing education and engage in further study of these research methods. 2. Execute in-depth analyses of primary reports of completed research, understanding the difference in criteria for qualitative, quantitative and mixed-method studies. 3. Perform several major research activities such as recognizing and defining a research problem, reviewing the literature, stating a research question or hypothesis, and determining the appropriate design to investigate the question or hypothesis. CENTRAL FOCUS OF COURSE: Research

 

Method of Instruction: Asynchronous

Delivery Platform: PLATFORM: Canvas

Campus visits required: No

Course Contact: Campus Staff Coordinator: Elizabeth Gardner

email: Elizabeth.Gardner@unlv.edu

 

Tuition: NEXus Common Price

 

Other considerations: Fall 2018 classes begin September 10, 2018 and end December 21, 2018. Please contact Jennifer Sanchez (jennifer.sanchezr@unlv.edu) by August 1, 2018 in order to be enrolled for Fall semester.

 

Available Seats by Semester for this course:

 

FALL 2018

Section: 1002
Instructor:TBA
Seats:5
Credits: 3 / Semester

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FALL 2016

Section: 1002
Instructor:Du Feng, PhD
Seats:5
Credits: 3 / Semester



FALL 2017

Section: 1002
Instructor:Du Feng
Seats:5
Credits: 3 / Semester



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