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NURS 7070 Multivariate Statistics
Credit hours: 3 per Semester
Cluster: Research Methodology, Quantitative Research Methods and Statistical Analysis,Quantitative Research Methods


Course Level: Doctoral Advanced

Course Type: PhD


Course Open to: PhD Students

Institution:University of Utah

Pre-requisites: At least 1 full year of statistics and approval from the instructor. Contact Heather Clarkson for more information.

Course Description: Practical understanding of the logic and application of selected multivariate statistics provided. Areas covered are use of multivariate statistical tests in research, choosing an appropriate statistical test, and examining multivariate tests that apply to continuous and categorical dependent and independent variables. The multivariate techniques that will be examined this semester will include multiple regression, logistic regression, multivariate analysis of variance, repeated measures ANOVA and MANOVA, and either factor analysis, structural equation modeling, or hierarchical linear modeling. Emphasis placed on practical application of these statistics, use of statistical computer packages to generate output, and interpretation of such analyses.


Method of Instruction: synchronous

Delivery Platform: Internet Vidoe Conferencing

Campus visits required: None

Course Contact: Heather Clarkson



Tuition: $825/credit.


Other considerations: PhD students only.


Available Seats by Semester for this course:


FALL 2018

Section: 091
Credits: 3 / Semester

FALL 2016

Section: 091
Instructor:Andrew Wilson, PhD
Credits: 3 / Semester

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and the Alfred P. Sloan Foundation.
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