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Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk
As schizotypal personality disorder (SPD) increasingly prevails in the general population, a rapid and comprehensive measurement instrument is imperative to screen individuals at risk for SPD. To address this issue, we aimed to develop a computerized adaptive testing for SPD (CAT-SPD) using a non-cl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868333/ https://www.ncbi.nlm.nih.gov/pubmed/33569020 http://dx.doi.org/10.3389/fpsyg.2020.574760 |
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author | Li, Yaling She, Menghua Tu, Dongbo Cai, Yan |
author_facet | Li, Yaling She, Menghua Tu, Dongbo Cai, Yan |
author_sort | Li, Yaling |
collection | PubMed |
description | As schizotypal personality disorder (SPD) increasingly prevails in the general population, a rapid and comprehensive measurement instrument is imperative to screen individuals at risk for SPD. To address this issue, we aimed to develop a computerized adaptive testing for SPD (CAT-SPD) using a non-clinical Chinese sample (N = 999), consisting of a calibration sample (N(1) = 497) and a validation sample (N(2) = 502). The item pool of SPD was constructed from several widely used SPD scales and statistical analyses based on the item response theory (IRT) via a calibration sample using a graded response model (GRM). Finally, 90 items, which measured at least one symptom of diagnostic criteria of SPD in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and had local independence, good item fit, high slope, and no differential item functioning (DIF), composed the final item pool for the CAT-SPD. In addition, a simulated CAT was conducted in an independent validation sample to assess the performance of the CAT-SPD. Results showed that the CAT-SPD not only had acceptable reliability, validity, and predictive utility but also had shorter but efficient assessment of SPD which can save significant time and reduce the test burden of individuals with less information loss. |
format | Online Article Text |
id | pubmed-7868333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78683332021-02-09 Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk Li, Yaling She, Menghua Tu, Dongbo Cai, Yan Front Psychol Psychology As schizotypal personality disorder (SPD) increasingly prevails in the general population, a rapid and comprehensive measurement instrument is imperative to screen individuals at risk for SPD. To address this issue, we aimed to develop a computerized adaptive testing for SPD (CAT-SPD) using a non-clinical Chinese sample (N = 999), consisting of a calibration sample (N(1) = 497) and a validation sample (N(2) = 502). The item pool of SPD was constructed from several widely used SPD scales and statistical analyses based on the item response theory (IRT) via a calibration sample using a graded response model (GRM). Finally, 90 items, which measured at least one symptom of diagnostic criteria of SPD in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and had local independence, good item fit, high slope, and no differential item functioning (DIF), composed the final item pool for the CAT-SPD. In addition, a simulated CAT was conducted in an independent validation sample to assess the performance of the CAT-SPD. Results showed that the CAT-SPD not only had acceptable reliability, validity, and predictive utility but also had shorter but efficient assessment of SPD which can save significant time and reduce the test burden of individuals with less information loss. Frontiers Media S.A. 2021-01-25 /pmc/articles/PMC7868333/ /pubmed/33569020 http://dx.doi.org/10.3389/fpsyg.2020.574760 Text en Copyright © 2021 Li, She, Tu and Cai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Li, Yaling She, Menghua Tu, Dongbo Cai, Yan Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk |
title | Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk |
title_full | Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk |
title_fullStr | Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk |
title_full_unstemmed | Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk |
title_short | Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk |
title_sort | computerized adaptive testing for schizotypal personality disorder: detecting individuals at risk |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868333/ https://www.ncbi.nlm.nih.gov/pubmed/33569020 http://dx.doi.org/10.3389/fpsyg.2020.574760 |
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