Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!

ABSTRACT: As there is currently a marked increase in the use of both unidimensional (UCAT) and multidimensional computerized adaptive testing (MCAT) in psychological and health measurement, the main aim of the present study is to assess the incremental value of using MCAT rather than separate UCATs for each dimension. Simulations are based on empirical data that could be considered typical for health measurement: a large number of dimensions (4), strong correlations among dimensions (.77-.87), and polytomously scored response data. Both variable- (SE < .316, SE < .387) and fixed-length conditions (total test length of 12, 20, or 32 items) are studied. The item parameters and variance-covariance matrix Φ are estimated with the multidimensional graded response model (GRM). Outcome

SUBMITTER: Paap MCS 

PROVIDER: S-EPMC6009175 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature