COURSE DETAIL
NURS 701 Statistical Methods 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: Provides knowledge about data management, basic statistical tests, graphics and tables, and necessary software. Presents statistical tests: contingency table analysis, one- and two-sample t-tests, one- and two-factor analysis of variance, simple linear regression, multiple linear regression, and analysis of covariance. Defines selected statistical terminology and concepts. Uses data from relevant studies to illustrate various statistical tests and corresponding assumptions.
Method of Instruction: blended
Delivery Platform: Canvas
Campus visits required: 0
Course Contact: Fonda Neal
email: fneal@vcu.edu
Tuition: $865/hour
Other considerations: Students will be expected to use JMP and MS Word to complete all assignments. The course content is delivered asynchronously with scheduled synchronous help sessions. The first day of the course will be conducted in the classroom. NEXus students can attend the first day of class virtually, using Zoom. Upon completion of this course, the student will: 1. Describe differences between point estimators, interval estimates and tests of hypotheses. 2. Describe hypothesis testing and the role of the null hypothesis, alternative hypothesis, Type I error, Type II error and power. 3. Explain the basic structure of a database, how to set up a database, and how to access data in a database. 4. Demonstrate how to use statistical software, calculate descriptive statistics such as mean, standard error, frequencies, percentages, correlations, etc. and report them in tables. 5. Create effective statistical graphics and tables to display results of analyses 6. Conduct the following statistical tests: contingency table analysis, one- and two-sample t-tests, one- and two-factor analysis of variance (ANOVA), simple linear regression, multiple linear regression, and analysis of covariance (ANCOVA). 7. Explain the concepts of interaction, adjusted means (and variances) and statistical models.
Available Seats by Semester for this course:
FALL 2019
Section: C01
Instructor: R. K. Elswick, PhD
Seats: 3
Credits: 3 / Semester
Start Date: 08-20-19
End Date: 12-12-19
FALL 2020
Section: C01
Instructor: R. K. Elswick
Seats: 3
Credits: 3 / Semester
Start Date: 08-18-20
End Date: 12-07-20
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FALL 2021
Section: C01
Instructor: R.K. Elswick
Seats: 2
Credits: 3 / Semester
Start Date: 08-24-21
End Date: 12-13-21
FALL 2022
Section: C001
Instructor: R.K. Elswick, PhD
Seats: 3
Credits: 3 / Semester
Start Date: 08-23-22
End Date: 12-12-22