Item Response Theory and Health Outcomes Measurement in the 21st Century

By R. Hays, L. Morales, S. Reise. Medical Care, 2000

867 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/9fdbb2c8e030e31f974c23e94d7428a0bd3032bc

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Citations in the corpus

Item Response Theory—A Statistical Framework for Educational and Psychological Measurement (2021, neutral): “Zhiliang Ying is Professor, Department of Statistics, Columbia University, New York, NY, USA. of health-related quality of life (Cella et al., 2002; Hays et al., 2000); speciﬁ-cally, these models have been the central statistical tool for the development of the Patient-Reported Outcomes Measurement…”
The measurement of populist attitudes: Testing cross-national scales using item response theory (2020, methodology): “…IRT analyses.4 Given our ordered polytomous data structure, we rely on the Graded Response Model (Ostini and Nering, 2006; Samejima, 1997), an extension of the two-parameter (2-PL) IRT model (cf. Hays et al., 2000).5 First, we analyse the original 6-item instrument in a cross-national context.”
Item response theory and clinical measurement. (2009, methodology): “(Hays et al. 2000), or “Why IRT is superior to traditional methods” (Reise & Henson 2003), to a more mature stage that includes dozens of informative applications.”
Item Response Theory: What It Is and How You Can Use the IRT Procedure to Apply It (2014, background): “In recent years, IRT-based models have also become increasingly popular in health outcomes, quality-of-life research, and clinical research (Hays, Morales, and Reise 2000; Edelen and Reeve 2007; Holman, Glas, and de Haan 2003; Reise and Waller 2009).”
The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap Cooperative Group During its First Two Years (2007, methodology): “Early efforts were focused on (1) providing support systems for managing existing datasets; (2) developing the database system used to house the item library; and (3) providing technology systems to support binning, winnowing, and QIR.”
The role of the bifactor model in resolving dimensionality issues in health outcomes measures (2007, background): “Such reports are available in a variety of sources [7, 8].”
Interim scoring for the EQ-5D-5L: mapping the EQ-5D-5L to EQ-5D-3L value sets. (2012, methodology): “The second approach, which used psychometric scaling techniques, assumes that the 3L and 5L response categories are indicators of a common underlying construct [15].”