COURSE DETAIL
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
http://bulletin.vcu.edu/azcourses/nurs/
Course Level: Doctoral
Course Type: PhD
IPE: No
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
email: fneal@vcu.edu
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:
SPRING 2019
Section: C01
Instructor: R. K. Elswick, Ph.D.
Seats: 2
Credits: 3 / Semester
Start Date: 01-14-19
End Date: 05-10-19
SPRING 2020
Section: C01
Instructor: Ronald Elswick, Ph.D.
Seats: 3
Credits: 3 / Semester
Start Date: 01-13-20
End Date: 05-02-20
SPRING 2021
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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SPRING 2022
Section: C01
Instructor: R. K. Elswick
Seats: 2
Credits: 3 / Semester
Start Date: 01-18-22
End Date: 05-07-22