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01.04.2009

Measuring global physical health in children with cerebral palsy: illustration of a multidimensional bi-factor model and computerized adaptive testing

verfasst von: Stephen M. Haley, Pengsheng Ni, Helene M. Dumas, Maria A. Fragala-Pinkham, Ronald K. Hambleton, Kathleen Montpetit, Nathalie Bilodeau, George E. Gorton, Kyle Watson, Carole A. Tucker

Erschienen in: Quality of Life Research | Ausgabe 3/2009

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Abstract

Purpose

The purposes of this study were to apply a bi-factor model for the determination of test dimensionality and a multidimensional CAT using computer simulations of real data for the assessment of a new global physical health measure for children with cerebral palsy (CP).

Methods

Parent respondents of 306 children with cerebral palsy were recruited from four pediatric rehabilitation hospitals and outpatient clinics. We compared confirmatory factor analysis results across four models: (1) one-factor unidimensional; (2) two-factor multidimensional (MIRT); (3) bi-factor MIRT with fixed slopes; and (4) bi-factor MIRT with varied slopes. We tested whether the general and content (fatigue and pain) person score estimates could discriminate across severity and types of CP, and whether score estimates from a simulated CAT were similar to estimates based on the total item bank, and whether they correlated as expected with external measures.

Results

Confirmatory factor analysis suggested separate pain and fatigue sub-factors; all 37 items were retained in the analyses. From the bi-factor MIRT model with fixed slopes, the full item bank scores discriminated across levels of severity and types of CP, and compared favorably to external instruments. CAT scores based on 10- and 15-item versions accurately captured the global physical health scores.

Conclusions

The bi-factor MIRT CAT application, especially the 10- and 15-item versions, yielded accurate global physical health scores that discriminated across known severity groups and types of CP, and correlated as expected with concurrent measures. The CATs have potential for collecting complex data on the physical health of children with CP in an efficient manner.

Vorheriger Artikel The 6-item CTS symptoms scale: a brief outcomes measure for carpal tunnel syndrome

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Titel: Measuring global physical health in children with cerebral palsy: illustration of a multidimensional bi-factor model and computerized adaptive testing
verfasst von: Stephen M. Haley
Pengsheng Ni
Helene M. Dumas
Maria A. Fragala-Pinkham
Ronald K. Hambleton
Kathleen Montpetit
Nathalie Bilodeau
George E. Gorton
Kyle Watson
Carole A. Tucker
Publikationsdatum: 01.04.2009
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 3/2009
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-009-9447-5

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Abstract

Purpose

Methods

Results

Conclusions

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