A two-step, test-guided Mokken scale analysis, for nonclustered and clustered data.

ABSTRACT:

Purpose

Mokken scale analysis (MSA) is an attractive scaling procedure for ordinal data. MSA is frequently used in health-related quality of life research. Two of MSA's prime features are the scalability coefficients and the automated item selection procedure (AISP). The AISP partitions a (large) set of items into scales based on the observed item scores; the resulting scales can be used as measurement instruments. There exist two issues in MSA: First, point estimates, standard errors, and test statistics for scalability coefficients are inappropriate for clustered item scores, which are omnipresent in quality of life research data. Second, the AISP insufficiently takes sampling fluctuation of Mokken's scalability coefficients into account.

Methods

We solved both issues by p

SUBMITTER: Koopman L 

PROVIDER: S-EPMC8800881 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature