Data Basics: Understanding and Illustrating Research Data
This module introduces various data types commonly seen in research studies. Proper identification of the data type is essential to summarize and analyze the data appropriately. Summary measures, including measures of central tendency ("averages") and variation (the "spread" of the data), are discussed for qualitative and quantitative data.
In addition, this module illustrates ways that data can be graphically displayed to uncover important attributes or limitations of the data. The target audience is students with minimal training in statistics who are new to working with data. Originally released July 1, 2012; renewed May 6, 2013; credit expires Dec. 31, 2017.
Watch the Video Lecture Here.
Mayo Clinic College of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
Mayo Clinic College of Medicine designates this enduring material for a maximum of 1.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Upon conclusion of this program, participants should be able to:
- Describe types of data commonly observed in research studies
- Interpret various graphical displays that enrich the understanding of data
- Describe the concepts of the average and spread
Attendance at this Mayo course does not indicate nor guarantee competence or proficiency in the performance of any procedures which may be discussed or taught in this course.
Rickey E. Carter, Ph.D., is the Section Head of Clinical Statistics in the Division of Biomedical Statistics and Informatics and he also assumes the role of Director of Biostatistics in the CCaTS. Dr. Carter came to Mayo from the Medical University of South Carolina (MUSC) where he was a tenure-track faculty member in the Department of Biostatistics, Bioinformatics and Epidemiology (DBBE). Dr. Carter received his B.S. in Mathematics from Winthrop University in 1997 and a Ph.D. in Biostatistics from MUSC in 2002. From 2000-2003, Dr. Carter was the Assistant Director and then Director, Information Systems, of the MUSC Clinical Innovation Group and was most recently the Associate Director of the MUSC Collaborative Unit in the Department of Biostatistics, Bioinformatics, and Epidemiology.
Dr. Carter has broad experience working with a wide spectrum of investigators (clinical and basic), and has a history of building strong relationships through these interactions.
View the disclosure summary.
- 1.00 AMA PRA Category 1 Credit™