An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing

<p>Abstract</p> <p>Background</p> <p>Questionnaires used by health services to identify children with psychosocial problems are often rather short. The psychometric properties of such short questionnaires are mostly less than needed for an accurate distinction between c...

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Main Authors: Reijneveld Symen A, Jacobusse Gert W, Vogels Antonius GC
Format: Article
Language:English
Published: BMC 2011-08-01
Series:BMC Medical Research Methodology
Online Access:http://www.biomedcentral.com/1471-2288/11/111
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spelling doaj-1be57b998cdd41929c1a451ec49042102020-11-24T23:07:48ZengBMCBMC Medical Research Methodology1471-22882011-08-0111111110.1186/1471-2288-11-111An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testingReijneveld Symen AJacobusse Gert WVogels Antonius GC<p>Abstract</p> <p>Background</p> <p>Questionnaires used by health services to identify children with psychosocial problems are often rather short. The psychometric properties of such short questionnaires are mostly less than needed for an accurate distinction between children with and without problems. We aimed to assess whether a short Computerized Adaptive Test (CAT) can overcome the weaknesses of short written questionnaires when identifying children with psychosocial problems.</p> <p>Method</p> <p>We used a Dutch national data set obtained from parents of children invited for a routine health examination by Preventive Child Healthcare with 205 items on behavioral and emotional problems (n = 2,041, response 84%). In a random subsample we determined which items met the requirements of an Item Response Theory (IRT) model to a sufficient degree. Using those items, item parameters necessary for a CAT were calculated and a cut-off point was defined. In the remaining subsample we determined the validity and efficiency of a Computerized Adaptive Test using simulation techniques, with current treatment status and a clinical score on the Total Problem Scale (TPS) of the Child Behavior Checklist as criteria.</p> <p>Results</p> <p>Out of 205 items available 190 sufficiently met the criteria of the underlying IRT model. For 90% of the children a score above or below cut-off point could be determined with 95% accuracy. The mean number of items needed to achieve this was 12. Sensitivity and specificity with the TPS as a criterion were 0.89 and 0.91, respectively.</p> <p>Conclusion</p> <p>An IRT-based CAT is a very promising option for the identification of psychosocial problems in children, as it can lead to an efficient, yet high-quality identification. The results of our simulation study need to be replicated in a real-life administration of this CAT.</p> http://www.biomedcentral.com/1471-2288/11/111
collection DOAJ
language English
format Article
sources DOAJ
author Reijneveld Symen A
Jacobusse Gert W
Vogels Antonius GC
spellingShingle Reijneveld Symen A
Jacobusse Gert W
Vogels Antonius GC
An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
BMC Medical Research Methodology
author_facet Reijneveld Symen A
Jacobusse Gert W
Vogels Antonius GC
author_sort Reijneveld Symen A
title An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
title_short An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
title_full An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
title_fullStr An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
title_full_unstemmed An accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
title_sort accurate and efficient identification of children with psychosocial problems by means of computerized adaptive testing
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2011-08-01
description <p>Abstract</p> <p>Background</p> <p>Questionnaires used by health services to identify children with psychosocial problems are often rather short. The psychometric properties of such short questionnaires are mostly less than needed for an accurate distinction between children with and without problems. We aimed to assess whether a short Computerized Adaptive Test (CAT) can overcome the weaknesses of short written questionnaires when identifying children with psychosocial problems.</p> <p>Method</p> <p>We used a Dutch national data set obtained from parents of children invited for a routine health examination by Preventive Child Healthcare with 205 items on behavioral and emotional problems (n = 2,041, response 84%). In a random subsample we determined which items met the requirements of an Item Response Theory (IRT) model to a sufficient degree. Using those items, item parameters necessary for a CAT were calculated and a cut-off point was defined. In the remaining subsample we determined the validity and efficiency of a Computerized Adaptive Test using simulation techniques, with current treatment status and a clinical score on the Total Problem Scale (TPS) of the Child Behavior Checklist as criteria.</p> <p>Results</p> <p>Out of 205 items available 190 sufficiently met the criteria of the underlying IRT model. For 90% of the children a score above or below cut-off point could be determined with 95% accuracy. The mean number of items needed to achieve this was 12. Sensitivity and specificity with the TPS as a criterion were 0.89 and 0.91, respectively.</p> <p>Conclusion</p> <p>An IRT-based CAT is a very promising option for the identification of psychosocial problems in children, as it can lead to an efficient, yet high-quality identification. The results of our simulation study need to be replicated in a real-life administration of this CAT.</p>
url http://www.biomedcentral.com/1471-2288/11/111
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