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NURS 702 Advanced Statistical Concepts for Nursing Research
Credit hours: 3 per Semester
Cluster: Research Methodology, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods,Statistical Analysis


Course Level: Doctoral

Course Type: PhD


Course Open to: PhD Students

Institution:Virginia Commonwealth University

Pre-requisites: none

Course Description: Presents advanced statistical methods and necessary statistical assumptions. Explains optimal modeling approaches for different data types and study designs. Data types: binary data, ordinal data, multinomial data, time-to-event data, longitudinal data, hierarchical data and multivariate data. Analytic methods discussed will include nominal, ordinal and multinomial logistic regression, Kaplin-Meier estimation, Cox proportional hazards model, mixed effects models, factor analysis, principal components, canonical correlation, classification and clustering.


Method of Instruction: asynchronous

Delivery Platform: Canvas

Campus visits required: 0

Course Contact: Fonda Neal



Tuition: $865/credit hour


Other considerations: The first day of class is synchronous via Zoom - date/time TBD. Course objectives: Upon completion of this course, for each statistical method listed in the description, the student will be able to: 1. Select the appropriate statistical methods for the research design, the research question and the data type 2. Assess appropriate statistical assumptions 3. Interprets the results from the statistical tests


Available Seats by Semester for this course:



Section: C01
Instructor: R. K. Elswick, Ph.D.
Seats: 2
Credits: 3 / Semester
Start Date: 01-14-19
End Date: 05-10-19


Section: C01
Instructor: Ronald Elswick, Ph.D.
Seats: 3
Credits: 3 / Semester
Start Date: 01-13-20
End Date: 05-02-20


Section: C01
Instructor: R. K. Elswick
Seats: 3
Credits: 3 / Semester
Start Date: 01-25-21
End Date: 05-07-21

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Section: C01
Instructor: R. K. Elswick
Seats: 2
Credits: 3 / Semester
Start Date: 01-18-22
End Date: 05-07-22

Funding to develop this project was provided in part by the U.S. Department of Education's Fund for the Improvement of Postsecondary Education
and the Alfred P. Sloan Foundation.
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