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Measurement Selection and Development for Maternal and Child Health Research

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Date Developed: 2/20/2012. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): James Guevara, MD, MPH; Carole Tucker, PT, PhD. Type: Webinar Archive. Level: Intermediate. Length: 60 minutes.


This webinar—hosted by the Maternal and Child Health Extramural Research Program (EnRich)—focuses on best practices and methods for the selection of MCH research measurement instruments. Dr. Guevara begins by defining types of health measures and how to use the health belief model to inform practice. He continues by addressing reliability, validity, and validation of measures. Next, Dr. Tucker covers the development, such as the purpose, population, outcome, granularity, and administration mode, of health measures. She further describes the purpose, advantages and limitations classical measurement approaches, Computer Adaptive Testing (CAT), and Item Response Theory (IRT). A question and answer session conclude the presentation.

Learning Objectives

• To determine best practices for the selection of measurement instruments in maternal-child health research.

• To understand methods for measure development in maternal-child health research.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UE8MC25742; MCH Navigator for $225,000/year. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.