Literature DB >> 18297502

Efficiency and sensitivity of multidimensional computerized adaptive testing of pediatric physical functioning.

Diane D Allen1, Pengsheng Ni, Stephen M Haley.   

Abstract

PURPOSE: Computerized adaptive tests (CATs) have efficiency advantages over fixed-length tests of physical functioning but may lose sensitivity when administering extremely low numbers of items. Multidimensional CATs may efficiently improve sensitivity by capitalizing on correlations between functional domains. Using a series of empirical simulations, we assessed the efficiency and sensitivity of multidimensional CATs compared to a longer fixed-length test.
METHOD: Parent responses to the Pediatric Evaluation of Disability Inventory before and after intervention for 239 children at a pediatric rehabilitation hospital provided the data for this retrospective study. Reliability, effect size, and standardized response mean were compared between full-length self-care and mobility subscales and simulated multidimensional CATs with stopping rules at 40, 30, 20, and 10 items.
RESULTS: Reliability was lowest in the 10-item CAT condition for the self-care (r = 0.85) and mobility (r = 0.79) subscales; all other conditions had high reliabilities (r > 0.94). All multidimensional CAT conditions had equivalent levels of sensitivity compared to the full set condition for both domains.
CONCLUSIONS: Multidimensional CATs efficiently retain the sensitivity of longer fixed-length measures even with 5 items per dimension (10-item CAT condition). Measuring physical functioning with multidimensional CATs could enhance sensitivity following intervention while minimizing response burden.

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Year:  2008        PMID: 18297502     DOI: 10.1080/09638280701625484

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  6 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.  Gaps between patients' reported current and preferred abilities versus clinicians' emphases during an episode of care: any agreement?

Authors:  Diane D Allen; Carolina Talavera; Stephen Baxter; Kimberly Topp
Journal:  Qual Life Res       Date:  2014-12-13       Impact factor: 4.147

3.  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

4.  Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.

Authors:  Pengsheng Ni; Christine M McDonough; Alan M Jette; Kara Bogusz; Elizabeth E Marfeo; Elizabeth K Rasch; Diane E Brandt; Mark Meterko; Stephen M Haley; Leighton Chan
Journal:  Arch Phys Med Rehabil       Date:  2013-04-08       Impact factor: 3.966

5.  Validation of a computer-adaptive test to evaluate generic health-related quality of life.

Authors:  Pablo Rebollo; Ignacio Castejón; Jesús Cuervo; Guillermo Villa; Eduardo García-Cueto; Helena Díaz-Cuervo; Pilar C Zardaín; José Muñiz; Jordi Alonso
Journal:  Health Qual Life Outcomes       Date:  2010-12-03       Impact factor: 3.186

6.  Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!

Authors:  Muirne C S Paap; Karel A Kroeze; Cees A W Glas; Caroline B Terwee; Job van der Palen; Bernard P Veldkamp
Journal:  Appl Psychol Meas       Date:  2017-10-24
  6 in total

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