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The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children
Affective dysregulation (AD) in children is characterized by persistent irritability and severe temper outbursts. This study developed and evaluated a screening questionnaire for AD in children. The development included the generation of an initial item pool from existing instruments, a Delphi ratin...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152573/ https://www.ncbi.nlm.nih.gov/pubmed/35301874 http://dx.doi.org/10.1177/10731911221082709 |
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author | Otto, Christiane Kaman, Anne Barkmann, Claus Döpfner, Manfred Görtz-Dorten, Anja Ginsberg, Claudia Zaplana Labarga, Sara Treier, Anne-Katrin Roessner, Veit Hanisch, Charlotte Koelch, Michael Banaschewski, Tobias Ravens-Sieberer, Ulrike |
author_facet | Otto, Christiane Kaman, Anne Barkmann, Claus Döpfner, Manfred Görtz-Dorten, Anja Ginsberg, Claudia Zaplana Labarga, Sara Treier, Anne-Katrin Roessner, Veit Hanisch, Charlotte Koelch, Michael Banaschewski, Tobias Ravens-Sieberer, Ulrike |
author_sort | Otto, Christiane |
collection | PubMed |
description | Affective dysregulation (AD) in children is characterized by persistent irritability and severe temper outbursts. This study developed and evaluated a screening questionnaire for AD in children. The development included the generation of an initial item pool from existing instruments, a Delphi rating of experts, focus groups with experts and parents, and psychometric analyses of clinical and population-based samples. Based on data of a large community-based study, the final screening questionnaire was developed (n = 771; 49.7 % female; age M = 10.02 years; SD = 1.34) and evaluated (n = 8,974; 48.7 % female; age M = 10.00 years; SD = 1.38) with methods from classical test theory and item response theory. The developed DADYS-Screen (Diagnostic Tool for Affective Dysregulation in Children—Screening Questionnaire) includes 12 items with good psychometric properties and scale characteristics including a good fit to a one-factorial model in comparison to the baseline model, although only a “mediocre” fit according to the root mean square error of approximation (RMSEA). Results could be confirmed using a second and larger data set. Overall, the DADYS-Screen is able to identify children with AD, although it needs further investigation using clinical data. |
format | Online Article Text |
id | pubmed-10152573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101525732023-05-03 The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children Otto, Christiane Kaman, Anne Barkmann, Claus Döpfner, Manfred Görtz-Dorten, Anja Ginsberg, Claudia Zaplana Labarga, Sara Treier, Anne-Katrin Roessner, Veit Hanisch, Charlotte Koelch, Michael Banaschewski, Tobias Ravens-Sieberer, Ulrike Assessment Articles Affective dysregulation (AD) in children is characterized by persistent irritability and severe temper outbursts. This study developed and evaluated a screening questionnaire for AD in children. The development included the generation of an initial item pool from existing instruments, a Delphi rating of experts, focus groups with experts and parents, and psychometric analyses of clinical and population-based samples. Based on data of a large community-based study, the final screening questionnaire was developed (n = 771; 49.7 % female; age M = 10.02 years; SD = 1.34) and evaluated (n = 8,974; 48.7 % female; age M = 10.00 years; SD = 1.38) with methods from classical test theory and item response theory. The developed DADYS-Screen (Diagnostic Tool for Affective Dysregulation in Children—Screening Questionnaire) includes 12 items with good psychometric properties and scale characteristics including a good fit to a one-factorial model in comparison to the baseline model, although only a “mediocre” fit according to the root mean square error of approximation (RMSEA). Results could be confirmed using a second and larger data set. Overall, the DADYS-Screen is able to identify children with AD, although it needs further investigation using clinical data. SAGE Publications 2022-03-18 2023-06 /pmc/articles/PMC10152573/ /pubmed/35301874 http://dx.doi.org/10.1177/10731911221082709 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Articles Otto, Christiane Kaman, Anne Barkmann, Claus Döpfner, Manfred Görtz-Dorten, Anja Ginsberg, Claudia Zaplana Labarga, Sara Treier, Anne-Katrin Roessner, Veit Hanisch, Charlotte Koelch, Michael Banaschewski, Tobias Ravens-Sieberer, Ulrike The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children |
title | The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children |
title_full | The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children |
title_fullStr | The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children |
title_full_unstemmed | The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children |
title_short | The DADYS-Screen: Development and Evaluation of a Screening Tool for Affective Dysregulation in Children |
title_sort | dadys-screen: development and evaluation of a screening tool for affective dysregulation in children |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152573/ https://www.ncbi.nlm.nih.gov/pubmed/35301874 http://dx.doi.org/10.1177/10731911221082709 |
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