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Webinar Details

An Introduction to Item Response Theory (IRT) and Application of IRT for Survey Design...

Bryce Reeve, PhD

Wednesday, December 11, 2013

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About This Course:

Each year, new surveys are developed or revised from previous measures in the hope of obtaining surveys that are reliable, valid, sensitive to change, and provide interpretable scores that accurately characterize a respondent’s standing on a measured construct. This need for psychometrically sound measures calls for better analytical tools beyond the methods available from classical test theory. Applications of item response theory (IRT) modeling have increased considerably in educational, psychological, and health outcomes measurement because of its utility for survey development and evaluation, assessment of measurement equivalence, survey linking, and computerized adaptive testing (CAT). IRT models the relationship, in probabilistic terms, between a person's response to a survey question and their standing on a latent construct such as depression, anxiety, or fatigue. This information allows survey developers to build reliable and efficient measures tailored for an individual or group.

Learning Objectives:

  • Understand the basic concepts and methods of item response theory (IRT).
  • Understand what differentiates classical and modern measurement theory.
  • Understand potential applications of IRT modeling for designing and evaluating surveys.

About the Instructor:

ImageDr. Bryce Reeve, PhD, is an Associate Professor within the Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH). He is also a member of the UNC Lineberger Comprehensive Cancer Center. Dr. Reeve received his doctorate in 2000 in quantitative psychology from UNC-CH. He served, from 2000 to 2010, as an Outcomes Researcher and Program Director at the U.S. National Cancer Institute (NCI). His work focuses on enhancing the application of patient-reported outcomes (PROs) in clinical research and practice to improve the quality of care for pediatric and adult cancer patients. This includes the development of PRO measures using qualitative and quantitative methodologies and integration of PRO data in research and healthcare delivery to inform decision-making.

While at NCI, Dr. Reeve served as a NIH Science Officer on the Patient-Reported Outcomes Measurement Information System® (PROMIS®) Network. The PROMIS Network provides to the public a web-based resource to dynamically administer, collect, and report data on key symptom and health-related quality of life domains relevant to a variety of chronic diseases. Also, Dr. Reeve served as the lead NCI Program Officer on the project to develop the patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). The goal is to employ rigorous scientific methods to create a system for patient self-reporting of adverse symptoms in cancer trials, which is widely accepted and used; generates useful data for investigators, regulators, clinicians and patients; and is compatible with existing adverse event reporting systems.

Dr. Reeve currently serves as President of the International Society for Quality of Life Research (ISOQOL). He also serves on NCI’s Symptom Management and Health-Related Quality of Life Steering Committee and ALLIANCE’s Health Outcomes Committee. He also serves as an advisor for the European Organization for Research and Treatment of Cancer (EORTC) group on Patient Reported Outcomes and Behavioral Evidence (PROBE). He is the principal investigator on two NCI R01 grants that are developing and evaluating PRO measures for oncology research.