Some recommendations for developing multidimensional computerized adaptive tests for patient-reported outcomes.
Purpose: Multidimensional item response theory and computerized adaptive testing (CAT) are increasingly used in mental health, quality of life (QoL), and patient-reported outcome measurement. Although multidimensional assessment techniques hold promises, they are more challenging in their applicatio...
| Published in: | Quality of Life Research Vol. 27; no. 4; pp. 1055 - 1064 |
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| Main Authors: | , , |
| Format: | tables/charts Journal Article |
| Published: |
Springer Nature
Apr2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128747093&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128747093 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Apr2018 vid: 27 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128747093 128747093 NLM29476312 128747093 10.1007/s11136-018-1821-8 NLM29476312 128747093 ppf: 1055 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Some recommendations for developing multidimensional computerized adaptive tests for patient-reported outcomes. aug: au: Smits, Niels Paap, Muirne C. S. Böhnke, Jan R. affil: Research Institute of Child Development and Education, University of Amsterdam, Nieuwe Achtergracht 127, 1018 WS, Amsterdam, The Netherlands sug: subj: Psychometrics Methods Computerized Adaptive Testing Standards Patient-Reported Outcomes Mental Health Quality of Life Information Systems ab: Purpose: Multidimensional item response theory and computerized adaptive testing (CAT) are increasingly used in mental health, quality of life (QoL), and patient-reported outcome measurement. Although multidimensional assessment techniques hold promises, they are more challenging in their application than unidimensional ones. The authors comment on minimal standards when developing multidimensional CATs.Methods: Prompted by pioneering papers published in QLR, the authors reflect on existing guidance and discussions from different psychometric communities, including guidelines developed for unidimensional CATs in the PROMIS project.Results: The commentary focuses on two key topics: (1) the design, evaluation, and calibration of multidimensional item banks and (2) how to study the efficiency and precision of a multidimensional item bank. The authors suggest that the development of a carefully designed and calibrated item bank encompasses a construction phase and a psychometric phase. With respect to efficiency and precision, item banks should be large enough to provide adequate precision over the full range of the latent constructs. Therefore CAT performance should be studied as a function of the latent constructs and with reference to relevant benchmarks. Solutions are also suggested for simulation studies using real data, which often result in too optimistic evaluations of an item bank's efficiency and precision.Discussion: Multidimensional CAT applications are promising but complex statistical assessment tools which necessitate detailed theoretical frameworks and methodological scrutiny when testing their appropriateness for practical applications. The authors advise researchers to evaluate item banks with a broad set of methods, describe their choices in detail, and substantiate their approach for validation. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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