Discover the value of research and statistics in health care administration.
In any organization, major decisions should be based on data. There are many ways to analyze and use data and in HAD 505 Health Care Stats/Research Methods, you’ll become familiar with these methods. To help you in the collection of relevant data, you’ll examine qualitative and quantitative research methods appropriate to the study of health administration, including observational, quasi-experimental and experimental research designs.
As you examine and practice using statistics to describe health care data, you’ll see how probabilities are related to statistics, as well as discover the difference between qualitative and quantitative research studies. You’ll learn to calculate and interpret confidence intervals, which remind us that averages or proportions are only estimates. You’ll also learn how these intervals are used to test hypotheses. From t-tests to Analysis of Variance (ANOVA) and from chi-square tests to linear regression, you’ll explore research methods, tools and be able to carefully examine situations to determine which tool is appropriate based on the parameters presented.
Research doesn’t always yield exact answers or solutions. You’ll consider statistical tests that can be used to analyze numeric data when the data are not normally distributed or in those instances where data does not meet the usual assumptions required for common statistical tests. With a better understanding of health care statistics, you’ll be able to see how they are employed in health administration.
Working with a small group of students, you will develop a protocol for a quantitative research study that answers a specific research question. This assignment will include a written report and PowerPoint presentation.
Throughout each week of the course, you will focus on a core topic or theme. Sample topics are listed below and are subject to change based on the instructor.
- Introduction and Basics of Study Design and Data
- Qualitative Studies, Probability and Displaying Data
- Confidence Intervals and Hypothesis Testing
- ANOVA (Analysis of Variance)
- Correlation and Regression
- Chi-square Tests and Logistic Regression
What You'll Learn
Throughout your studies in HAD 505, you’ll gain skill and experience in applying basic statistical techniques that are used to routinely analyze health care data.
- Apply research methods and statistics applicable to health administration.
- Understand the uses of and distinction between qualitative and quantitative research methods.
- Formulate and test hypotheses using appropriate research methods.
- Select and apply the correct statistical test for analysis.
- Interpret the results of statistical tests.
- Summarize the results of statistical analyses and use these to support decision making.
- Appreciate the need and methods for protection of health information in research.
In HAD 505, you’ll examine qualitative and quantitative research used in health administration. For more information about this course or other courses in The University of Scranton’s online Master of Health Administration degree, request more information or call us today toll-free at (866) 373-9547.
The content presented on this page is representative information for example purposes and is subject to change as course and student needs change over time.