TY - CHAP T1 - Applications of item response theory to improve health outcomes assessment: Developing item banks, linking instruments, and computer-adaptive testing T2 - Outcomes assessment in cancer Y1 - 2005 A1 - Hambleton, R. K. ED - C. C. Gotay ED - C. Snyder KW - Computer Assisted Testing KW - Health KW - Item Response Theory KW - Measurement KW - Test Construction KW - Treatment Outcomes AB - (From the chapter) The current chapter builds on Reise's introduction to the basic concepts, assumptions, popular models, and important features of IRT and discusses the applications of item response theory (IRT) modeling to health outcomes assessment. In particular, we highlight the critical role of IRT modeling in: developing an instrument to match a study's population; linking two or more instruments measuring similar constructs on a common metric; and creating item banks that provide the foundation for tailored short-form instruments or for computerized adaptive assessments. (PsycINFO Database Record (c) 2005 APA ) JF - Outcomes assessment in cancer PB - Cambridge University Press CY - Cambridge, UK N1 - Using Smart Source ParsingOutcomes assessment in cancer: Measures, methods, and applications. (pp. 445-464). New York, NY : Cambridge University Press. xiv, 662 pp ER -