Data Management, Analysis and Representation for Advanced Practice in Nursing
Course Number: Nursing 603
Credit(s): 2
Type: Lecture (Core)
Prerequisite(s): A basic course in descriptive and inferential statistics; SON Web-based Methods and Statistics Modules (available via the link in the Course Description below). Computing skills: It is also assumed that before enrolling in N603, students will have acquired essential skills in the use of The University of Michigan computing facilities, including use of e-mail, creating files, word processing and graphics. Core.
This course is an in-depth coverage of the strategies involved in data management and data analysis, including statistical procedures and interpretation of data, for nursing research, and relevance to clinical practices. Students will apply knowledge of descriptive, parametric, and non-parametric, univariate, and selected multivariate approaches to data analysis. Emphasis will be on interpretation of statistical results and evaluation of published research and its applicability to clinical practice. Interpretation of statistical results and published research will be evaluated in terms of potential bias and relevancy related to gender, race, ethnic, socioeconomic, and sociodemographic factors. Computers will be used for data analysis. SPSS for windows will be the statistical system used in the course.
