Literature DB >> 26788896

Application of Group-Level Item Response Models in the Evaluation of Consumer Reports About Health Plan Quality.

Steven P Reise, Rob R Meijer, Andrew T Ainsworth, Leo S Morales, Ron D Hays.   

Abstract

Group-level parametric and non-parametric item response theory models were applied to the Consumer Assessment of Healthcare Providers and Systems (CAHPS(®)) 2.0 core items in a sample of 35,572 Medicaid recipients nested within 131 health plans. Results indicated that CAHPS responses are dominated by within health plan variation, and only weakly influenced by between health plan variation. Thus, although the CAHPS 2.0 survey has acceptable psychometric properties when analyzed at the individual level, large sample sizes are needed to reliably differentiate among health plans. These results illustrate why it is important to study evaluations of health care, such as CAHPS, at multiple levels of analyses.

Year:  2006        PMID: 26788896     DOI: 10.1207/s15327906mbr4101_6

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  2 in total

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

Authors:  Steven P Reise; Julien Morizot; Ron D Hays
Journal:  Qual Life Res       Date:  2007-05-04       Impact factor: 4.147

2.  Bias of Two-Level Scalability Coefficients and Their Standard Errors.

Authors:  Letty Koopman; Bonne J H Zijlstra; Mark de Rooij; L Andries van der Ark
Journal:  Appl Psychol Meas       Date:  2019-05-14
  2 in total

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