Literature DB >> 17133649

Computerized adaptive testing for measuring development of young children.

Gert Jacobusse1, Stef van Buuren.   

Abstract

Developmental indicators that are used for routine measurement in The Netherlands are usually chosen to optimally identify delayed children. Measurements on the majority of children without problems are therefore quite imprecise. This study explores the use of computerized adaptive testing (CAT) to monitor the development of young children. CAT is expected to improve the measurement precision of the instrument. We do two simulation studies - one with real data and one with simulated data - to evaluate the usefulness of CAT. It is shown that CAT selects developmental indicators that maximally match the individual child, so that all children can be measured to the same precision. (c) 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17133649     DOI: 10.1002/sim.2753

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

1.  Accuracy and precision of the Pediatric Evaluation of Disability Inventory computer-adaptive tests (PEDI-CAT).

Authors:  Stephen M Haley; Wendy J Coster; Helene M Dumas; Maria A Fragala-Pinkham; Jessica Kramer; Pengsheng Ni; Feng Tian; Ying-Chia Kao; Rich Moed; Larry H Ludlow
Journal:  Dev Med Child Neurol       Date:  2011-11-11       Impact factor: 5.449

2.  Commentary: the patient-reported outcome measurement information system (PROMIS®) for children and youth: application to pediatric psychology.

Authors:  Christopher B Forrest; Katherine B Bevans; Carole Tucker; Anne W Riley; Ulrike Ravens-Sieberer; William Gardner; Kathleen Pajer
Journal:  J Pediatr Psychol       Date:  2012-02-23

Review 3.  Lessons from use of the Pediatric Evaluation of Disability Inventory: where do we go from here?

Authors:  Stephen M Haley; Wendy I Coster; Ying-Chia Kao; Helene M Dumas; Maria A Fragala-Pinkham; Jessica M Kramer; Larry H Ludlow; Richard Moed
Journal:  Pediatr Phys Ther       Date:  2010       Impact factor: 3.049

4.  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

5.  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

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

Authors:  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
Journal:  Qual Life Res       Date:  2009-02-17       Impact factor: 4.147

7.  A new adaptive testing algorithm for shortening health literacy assessments.

Authors:  Sasikiran Kandula; Jessica S Ancker; David R Kaufman; Leanne M Currie; Qing Zeng-Treitler
Journal:  BMC Med Inform Decis Mak       Date:  2011-08-06       Impact factor: 2.796

8.  Design and implementation of the mobility assessment tool: software description.

Authors:  Ryan T Barnard; Anthony P Marsh; Walter Jack Rejeski; Anthony Pecorella; Edward H Ip
Journal:  BMC Med Inform Decis Mak       Date:  2013-07-23       Impact factor: 2.796

  8 in total

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