Computerized adaptive testing for measuring development of young children

Jacobusse, Gert; Buuren, Stef van

doi:10.1002/sim.2753

Cited by 26 publications

(27 citation statements)

References 8 publications

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“…6–9 We have shown that the original PEDI can be successfully engineered into efficient CAT programs. 8, 10 The North American Shriners Orthopedic Hospitals have recently developed a series of parent- and child-reported CAT measures of physical functioning and participation for their network with promising results.…”

mentioning

confidence: 99%

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

Haley

Coster

Dumas

et al. 2011

Developmental Medicine &Amp; Child Neurology

184

196

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Aim The aims of the study were to (1) build new item banks for a revised version of the Pediatric Evaluation of Disability Inventory (PEDI) with four content domains: Daily Activities, Mobility, Social/Cognitive, and Responsibility and 2) use post-hoc simulations based on the combined normative and disability calibration samples to assess the accuracy and precision of the PEDI computerized adaptive tests (PEDI-CAT) in comparison to the administration of all items. Methods Parents of typically developing children (n=2,205) and parents of children with disabilities (n=703) between ages 0 to 21 years, stratified by age and gender participated by responding to PEDI-CAT surveys through an existing Internet Opt-in Survey Panel in the USA and by computer tablets in clinical sites. Results Confirmatory factor analyses supported four unidimensional content domains. Scores using the real data post-hoc demonstrated excellent accuracy (ICCs ≥0.95) with the full item banks. Simulations using item parameter estimates demonstrated relatively small bias in the 10- and 15-item CAT versions; error was generally higher at the scale extremes. Interpretation These results suggest the PEDI-CAT can be an accurate and precise assessment of children’s daily functioning at all functional levels.

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mentioning

confidence: 99%

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

Haley

Coster

Dumas

et al. 2011

Developmental Medicine &Amp; Child Neurology

184

196

View full text Add to dashboard Cite

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“…These items were selected by careful, manual analysis of the data obtained through the 81-question long-form pilot study. However, an active area of investigation is the use of CAT for instruments in the health domain [13,14]. For example, the Patient Reported Outcomes Measurement Information System (PROMIS) provides a range of CAT instruments that cover several domains of health including physical, mental, and social health [15].…”

Section: Resultsmentioning

confidence: 99%

Design and implementation of the mobility assessment tool: software description

Barnard

Marsh

Rejeski

et al. 2013

BMC Med Inform Decis Mak

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BackgroundIn previous work, we described the development of an 81-item video-animated tool for assessing mobility. In response to criticism levied during a pilot study of this tool, we sought to develop a new version built upon a flexible framework for designing and administering the instrument.ResultsRather than constructing a self-contained software application with a hard-coded instrument, we designed an XML schema capable of describing a variety of psychometric instruments. The new version of our video-animated assessment tool was then defined fully within the context of a compliant XML document. Two software applications—one built in Java, the other in Objective-C for the Apple iPad—were then built that could present the instrument described in the XML document and collect participants’ responses. Separating the instrument’s definition from the software application implementing it allowed for rapid iteration and easy, reliable definition of variations.ConclusionsDefining instruments in a software-independent XML document simplifies the process of defining instruments and variations and allows a single instrument to be deployed on as many platforms as there are software applications capable of interpreting the instrument, thereby broadening the potential target audience for the instrument. Continued work will be done to further specify and refine this type of instrument specification with a focus on spurring adoption by researchers in gerontology and geriatric medicine.

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“…See Jacobusse and Van Buuren's Table II for an example. 26 van Buuren In many realistic settings the composition of the indicator sets differs between children. For example, if a child fails a particular indicator, this indicator is added to the set to be measured on the next occasion.…”

Section: D-score Estimationmentioning

confidence: 99%

Growth charts of human development

Buuren

2013

Stat Methods Med Res

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This article reviews and compares two types of growth charts for tracking human development over age. Both charts assume the existence of a continuous latent variable, but relate to the observed data in different ways. The D-score diagram summarizes developmental indicators into a single aggregate score measuring global development. The relations between the indicators should be consistent with the Rasch model. If true, the D-score is a measure with interval scale properties, and allows for the calculation of meaningful differences both within and across age. The stage line diagram describes the natural development of ordinal indicators. The method models the transition probabilities between successive stages of the indicator as smoothly varying functions of age. The location of each stage is quantified by the mid-P-value. Both types of diagrams assist in identifying early and delayed development, as well as finding differences in tempo. The relevant techniques are illustrated to track global development during infancy and early childhood (0-2 years) and Tanner pubertal stages (8-21 years). New reference values for both applications are provided.

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Computerized adaptive testing for measuring development of young children

Cited by 26 publications

References 8 publications

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

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

Design and implementation of the mobility assessment tool: software description

Growth charts of human development

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