Statistical Issues

Monday, April 4, 2022 from 12:00 PM–4:00 PM CDT
at Zoom
Available for 4.00 hours of CPE credit
Activity Number: 0217-0000-21-076-L04-P
This module, part of the Research and Scholarship Academy core programming, will guide participants through data analysis considerations based on outcome variables for their research projects. Faculty will review the appropriate statistical tests applied to specific types of data. Data associations (correlation and regression) will be discussed. Analysis considerations when projects use qualitative data sets will also be discussed.

To receive credit toward a certificate of completion, participants must be enrolled in the ACCP Academy and claim CE for this session session. For those enrolled in the ACCP Academy, this module must be completed before subsequent programming.

Speaker: Gary L. Cochran, Pharm.D. Associate Professor of Pharmacy Practice, University of Nebraska Medical Center, College of Pharmacy, Omaha, Nebraska View Biography	Cochran
Speaker: Jacqueline McLaughlin, Ph.D. Associate Professor, Educational Innovation and Research; Director of CIPhER, Center for Innovative Pharmacy Education and Research, University of North Carolina Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina View Biography	McLaughlin

Learning Objectives

1. Describe analysis of a dataset with a dichotomous outcome variable

2. Describe what variables should be included in a demographic table

3. Identify the appropriate statistical test for nominal and ordinal categorical variables

4. Determine whether a regression model is needed

5. Describe basic statistical concepts

6. Describe commonly used descriptive statistics for continuous variables

7. Explain the use of common statistical test for continuous variables

8. Explain correlation of linear regression analysis

9. Define qualitative research

10. Describe basic approaches to analyzing qualitative data