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

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 respond...

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Publicado en:Quality of Life Research Vol. 18; no. 3; pp. 359 - 371
Autores principales: Haley SM, Ni P, Dumas HM, Fragala-Pinkham MA, Hambleton RK, Montpetit K, Bilodeau N, Gorton GE, Watson K, Tucker CA, Haley, Stephen M, Ni, Pengsheng, Dumas, Helene M, Fragala-Pinkham, Maria A, Hambleton, Ronald K, Montpetit, Kathleen, Bilodeau, Nathalie, Gorton, George E, Watson, Kyle, Tucker, Carole A
Formato: research Journal Article
Publicado: Springer Nature Apr2009
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2009
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      pub: Springer Nature
      place: New York, New York
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        atl: Measuring global physical health in children with cerebral palsy: illustration of a multidimensional bi-factor model and computerized adaptive testing.
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          Haley SM
          Ni P
          Dumas HM
          Fragala-Pinkham MA
          Hambleton RK
          Montpetit K
          Bilodeau N
          Gorton GE
          Watson K
          Tucker CA
          Haley, Stephen M
          Ni, Pengsheng
          Dumas, Helene M
          Fragala-Pinkham, Maria A
          Hambleton, Ronald K
          Montpetit, Kathleen
          Bilodeau, Nathalie
          Gorton, George E
          Watson, Kyle
          Tucker, Carole A
        affil: Health and Disability Research Institute, Boston University School of Public Health, 580 Harrison Ave, Boston, MA, 02218, USA
      sug:
        subj:
          Cerebral Palsy Physiopathology
          Computer Simulation
          Health Status
          Models, Statistical
          Adaptation, Psychological
          Adolescence
          Child
          Child, Preschool
          Factor Analysis
          Female
          Human
          Male
          Massachusetts
          Pennsylvania
          Questionnaires
          Young Adult
          Adolescent: 13-18 years
          Child: 6-12 years
          Child, Preschool: 2-5 years
          Female
          Male
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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