The role of the bifactor model in resolving dimensionality issues in health outcomes measures.

The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Research Abstract Details 

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The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Abstract Text:

Steven P Reise,Julien Morizot,Ron D Hays,

OBJECTIVES: We propose the application of a bifactor model for exploring the dimensional structure of an item response matrix, and for handling multidimensionality. BACKGROUND: We argue that a bifactor analysis can complement traditional dimensionality investigations by: (a) providing an evaluation of the distortion that may occur when unidimensional models are fit to multidimensional data, (b) allowing researchers to examine the utility of forming subscales, and, (c) providing an alternative to non-hierarchical multidimensional models for scaling individual differences. METHOD: To demonstrate our arguments, we use responses (N = 1,000 Medicaid recipients) to 16 items in the Consumer Assessment of Healthcare Providers and Systems (CAHPS2.0) survey. ANALYSES: Exploratory and confirmatory factor analytic and item response theory models (unidimensional, multidimensional, and bifactor) were estimated. RESULTS: CAHPS items are consistent with both unidimensional and multidimensional solutions. However, the bifactor model revealed that the overwhelming majority of common variance was due to a general factor. After controlling for the general factor, subscales provided little measurement precision. CONCLUSION: The bifactor model provides a valuable tool for exploring dimensionality related questions. In the Discussion, we describe contexts where a bifactor analysis is most productively used, and we contrast bifactor with multidimensional IRT models (MIRT). We also describe implications of bifactor models for IRT applications, and raise some limitations.

The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Publishing Authors By Initials

SP Reise,J Morizot,RD Hays,

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The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Quality of life research : an international journa

VOLUME: 16 Suppl 1

Page Numbers: 19-31

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ISSN: 0962-9343

DAY: 4

MONTH: 05

YEAR: 2007

The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Information

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LANGUAGE: eng

NlmUniqueID: 9210257

The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Keywords Mesh Terms:

KEYWORDS: Research

MESH TERMS: methods

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Grant and Affiliation Information for The role of the bifactor model in resolving dimensionality issues in health outcomes measures.

AFFILIATION: Department of Psychology, University of California, Franz Hall, Los Angeles, CA 90095-1563, USA. reise@psych.ucla.edu

Country: Netherlands

AGENCY: United States NCMHD

GRANT: P20-MD00148-01

ACRONYM: MD

MEDLINETA: Qual Life Res

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