Literature DB >> 16894805

Sensitivity of a computer adaptive assessment for measuring functional mobility changes in children enrolled in a community fitness programme.

Stephen M Haley1, Maria Fragala-Pinkham, Pengsheng Ni.   

Abstract

OBJECTIVE: To examine the relative sensitivity to detect functional mobility changes with a full-length parent questionnaire compared with a computerized adaptive testing version of the questionnaire after a 16-week group fitness programme.
DESIGN: Prospective, pre- and posttest study with a 16-week group fitness intervention.
SETTING: Three community-based fitness centres.
SUBJECTS: Convenience sample of children (n = 28) with physical or developmental disabilities.
INTERVENTIONS: A 16-week group exercise programme held twice a week in a community setting. MAIN MEASURES: A full-length (161 items) paper version of a mobility parent questionnaire based on the Pediatric Evaluation of Disability Inventory, but expanded to include expected skills of children up to 15 years old was compared with a 15-item computer adaptive testing version. Both measures were administered at pre- and posttest intervals.
RESULTS: Both the full-length Pediatric Evaluation of Disability Inventory and the 15-item computer adaptive testing version detected significant changes between pre- and posttest scores, had large effect sizes, and standardized response means, with a modest decrease in the computer adaptive test as compared with the 161-item paper version. Correlations between the computer adaptive and paper formats across pre- and posttest scores ranged from r = 0.76 to 0.86.
CONCLUSIONS: Both functional mobility test versions were able to detect positive functional changes at the end of the intervention period. Greater variability in score estimates was generated by the computerized adaptive testing version, which led to a relative reduction in sensitivity as defined by the standardized response mean. Extreme scores were generally more difficult for the computer adaptive format to estimate with as much accuracy as scores in the mid-range of the scale. However, the reduction in accuracy and sensitivity, which did not influence the group effect results in this study, is counterbalanced by the large reduction in testing burden.

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Year:  2006        PMID: 16894805     DOI: 10.1191/0269215506cr967oa

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  10 in total

1.  Computer adaptive test performance in children with and without disabilities: prospective field study of the PEDI-CAT.

Authors:  Helene M Dumas; Maria A Fragala-Pinkham; Stephen M Haley; Pengsheng Ni; Wendy Coster; Jessica M Kramer; Ying-Chia Kao; Richard Moed; Larry H Ludlow
Journal:  Disabil Rehabil       Date:  2011-10-12       Impact factor: 3.033

2.  Imaging and Clinical Characteristics Predict Near-Term Disablement From Bone Metastases: Implications for Rehabilitation.

Authors:  Andrea L Cheville; Naveen S Murthy; Jeffrey R Basford; Peter S Rose; Kenny Tran; Thomas P Pittelkow; Michael D Ringler
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3.  A Comparison of Content-Balancing Procedures for Estimating Multiple Clinical Domains in Computerized Adaptive Testing: Relative Precision, Validity, and Detection of Persons With Misfitting Responses.

Authors:  Barth B Riley; Michael L Dennis; Kendon J Conrad
Journal:  Appl Psychol Meas       Date:  2009-12-16

4.  How Receptive Are Patients With Late Stage Cancer to Rehabilitation Services and What Are the Sources of Their Resistance?

Authors:  Andrea L Cheville; Lori Rhudy; Jeffrey R Basford; Joan M Griffin; Ann Marie Flores
Journal:  Arch Phys Med Rehabil       Date:  2016-08-31       Impact factor: 3.966

5.  Evaluation of a role functioning computer adaptive test (RF-CAT).

Authors:  M Anatchkova; M Rose; J Ware; J B Bjorner
Journal:  Qual Life Res       Date:  2012-06-14       Impact factor: 4.147

6.  Nested Cohort Study to Identify Characteristics That Predict Near-Term Disablement From Lung Cancer Brain Metastases.

Authors:  Andrea L Cheville; Jeffrey R Basford; Ian Parney; Ping Yang; Felix E Diehn
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7.  Performance of an item response theory-based computer adaptive test in identifying functional decline.

Authors:  Andrea L Cheville; Kathleen J Yost; Dirk R Larson; Katiuska Dos Santos; Megan M O'Byrne; Megan T Chang; Terry M Therneau; Felix E Diehn; Ping Yang
Journal:  Arch Phys Med Rehabil       Date:  2012-02-25       Impact factor: 3.966

8.  Evaluation of an item bank for a computerized adaptive test of activity in children with cerebral palsy.

Authors:  Stephen M Haley; Maria A Fragala-Pinkham; Helene M Dumas; Pengsheng Ni; George E Gorton; Kyle Watson; Kathleen Montpetit; Nathalie Bilodeau; Ronald K Hambleton; Carole A Tucker
Journal:  Phys Ther       Date:  2009-05-07

9.  Measuring physical functioning in children with spinal impairments with computerized adaptive testing.

Authors:  M J Mulcahey; Stephen M Haley; Theresa Duffy; Ni Pengsheng; Randal R Betz
Journal:  J Pediatr Orthop       Date:  2008 Apr-May       Impact factor: 2.324

10.  Computerized adaptive testing for follow-up after discharge from inpatient rehabilitation: II. Participation outcomes.

Authors:  Stephen M Haley; Barbara Gandek; Hilary Siebens; Randie M Black-Schaffer; Samuel J Sinclair; Wei Tao; Wendy J Coster; Pengsheng Ni; Alan M Jette
Journal:  Arch Phys Med Rehabil       Date:  2008-02       Impact factor: 3.966

  10 in total

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