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Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test
Depression is a highly prevalent disorder with a wide range of symptomatology. Existing instruments for its assessment have only a few items for each factor. The Depression Clinical Evaluation Test (DCET) has been created to cover all depression symptoms at different times (month, year, and always)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518141/ https://www.ncbi.nlm.nih.gov/pubmed/36078505 http://dx.doi.org/10.3390/ijerph191710788 |
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author | Guillot-Valdés, María Guillén-Riquelme, Alejandro Sierra, Juan Carlos Buela-Casal, Gualberto |
author_facet | Guillot-Valdés, María Guillén-Riquelme, Alejandro Sierra, Juan Carlos Buela-Casal, Gualberto |
author_sort | Guillot-Valdés, María |
collection | PubMed |
description | Depression is a highly prevalent disorder with a wide range of symptomatology. Existing instruments for its assessment have only a few items for each factor. The Depression Clinical Evaluation Test (DCET) has been created to cover all depression symptoms at different times (month, year, and always) with several items for each facet. The content validity of this instrument has been judged by experts and, in this paper, we analyse its factorial structure and make a network analysis of it. The test (196 items) was administered to 602 adults without psychological disorders (M(age) = 24.7, SD = 8.38, 72% women) both online and on paper. A network was estimated for each time point, using the absolute minimum selection and shrinkage operator. From the factor analysis, 12 factors were established for month, 11 for year, and 10 for always, leaving 94 items. The network analysis showed that the facets of depressive mood, anhedonia, and thoughts of Death, are central to all the estimated networks. The DCET is proposed as a valid and reliable multifactorial instrument to detect the variability of depressive symptoms in adults, guaranteeing its diagnostic usefulness. |
format | Online Article Text |
id | pubmed-9518141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95181412022-09-29 Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test Guillot-Valdés, María Guillén-Riquelme, Alejandro Sierra, Juan Carlos Buela-Casal, Gualberto Int J Environ Res Public Health Article Depression is a highly prevalent disorder with a wide range of symptomatology. Existing instruments for its assessment have only a few items for each factor. The Depression Clinical Evaluation Test (DCET) has been created to cover all depression symptoms at different times (month, year, and always) with several items for each facet. The content validity of this instrument has been judged by experts and, in this paper, we analyse its factorial structure and make a network analysis of it. The test (196 items) was administered to 602 adults without psychological disorders (M(age) = 24.7, SD = 8.38, 72% women) both online and on paper. A network was estimated for each time point, using the absolute minimum selection and shrinkage operator. From the factor analysis, 12 factors were established for month, 11 for year, and 10 for always, leaving 94 items. The network analysis showed that the facets of depressive mood, anhedonia, and thoughts of Death, are central to all the estimated networks. The DCET is proposed as a valid and reliable multifactorial instrument to detect the variability of depressive symptoms in adults, guaranteeing its diagnostic usefulness. MDPI 2022-08-30 /pmc/articles/PMC9518141/ /pubmed/36078505 http://dx.doi.org/10.3390/ijerph191710788 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Guillot-Valdés, María Guillén-Riquelme, Alejandro Sierra, Juan Carlos Buela-Casal, Gualberto Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test |
title | Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test |
title_full | Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test |
title_fullStr | Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test |
title_full_unstemmed | Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test |
title_short | Network and Exploratory Factorial Analysis of the Depression Clinical Evaluation Test |
title_sort | network and exploratory factorial analysis of the depression clinical evaluation test |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518141/ https://www.ncbi.nlm.nih.gov/pubmed/36078505 http://dx.doi.org/10.3390/ijerph191710788 |
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