March 28, 2019

Biostatistics Journal Club: Choosing Self-Report Measures for Your Research

Tuesday, April 2nd, 2019
NOON – 1:00PM
RAHN 2280

Presented by
James P. Selig, PhD
Associate Professor
Department of Biostatistics
University of Arkansas for Medical Sciences

A self-report measure is a data collection tool that relies on research participants/patients to provide information about their health status, symptoms, beliefs, attitudes, knowledge, well-being, etc. Such measures are commonly used in biomedical, psychological, and social research and can be invaluable tools for measuring key constructs that are difficult to measure by other methods. However, the quality of self-report measures can vary greatly and choosing a poor measure can have serious negative consequences. In my presentation, I will present a general framework to use when choosing measures; strategies for evaluating self-report measures with emphasis on issues of validity and reliability; common misbeliefs about the use of self-report measures; and resources you can use to choose self-report measures for your research.