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Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women

Background. Invisible violence against women (IVAW) can be understood as the set of attitudes, behaviors, and subtle beliefs that men use to subordinate women and that are culturally accepted. These behaviors can be a risk factor for intimate partner violence (IPV), so it is important to design tool...

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Autores principales: Dobarrio-Sanz, Iria, Fernández-Vargas, Anabel, Fernández-Férez, Alba, Vanegas-Coveña, Diana Patricia, Cordero-Ahiman, Otilia Vanessa, Granero-Molina, José, Fernández-Sola, Cayetano, Hernández-Padilla, José Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518585/
https://www.ncbi.nlm.nih.gov/pubmed/36078848
http://dx.doi.org/10.3390/ijerph191711127
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author Dobarrio-Sanz, Iria
Fernández-Vargas, Anabel
Fernández-Férez, Alba
Vanegas-Coveña, Diana Patricia
Cordero-Ahiman, Otilia Vanessa
Granero-Molina, José
Fernández-Sola, Cayetano
Hernández-Padilla, José Manuel
author_facet Dobarrio-Sanz, Iria
Fernández-Vargas, Anabel
Fernández-Férez, Alba
Vanegas-Coveña, Diana Patricia
Cordero-Ahiman, Otilia Vanessa
Granero-Molina, José
Fernández-Sola, Cayetano
Hernández-Padilla, José Manuel
author_sort Dobarrio-Sanz, Iria
collection PubMed
description Background. Invisible violence against women (IVAW) can be understood as the set of attitudes, behaviors, and subtle beliefs that men use to subordinate women and that are culturally accepted. These behaviors can be a risk factor for intimate partner violence (IPV), so it is important to design tools that allow us to detect it early. The aim of this study was to design and psychometrically assess a questionnaire for the detection of invisible violence against women (Q-IVAW). Methodology. A descriptive cross-sectional methodological study carried out in three phases: (1) development of the initial version; (2) pilot study (N = 51); and (3) final validation study (N = 990). The tool’s reliability, validity, and legibility were assessed. To assess reliability, the internal consistency (Cronbach’s α) was analyzed. The validity assessment included an analysis of content, criterion, and construct validity. Results. The EFA revealed that the Q-IVAW was comprised of five factors that explained 55.85% of the total variance found. The Q-IVAW showed very high reliability (α = 0.937), excellent content validity, and good construct validity. The criterion validity analysis showed a moderate correlation between A-IPVAW and Q-IVAW (r = 0.30; p < 0.001). Conclusion. The psychometric assessment of the Q-IVAW yielded good results, which could support the tool’s ability to assess how often women are subjected to inviable violent behaviors by their partners.
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spelling pubmed-95185852022-09-29 Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women Dobarrio-Sanz, Iria Fernández-Vargas, Anabel Fernández-Férez, Alba Vanegas-Coveña, Diana Patricia Cordero-Ahiman, Otilia Vanessa Granero-Molina, José Fernández-Sola, Cayetano Hernández-Padilla, José Manuel Int J Environ Res Public Health Article Background. Invisible violence against women (IVAW) can be understood as the set of attitudes, behaviors, and subtle beliefs that men use to subordinate women and that are culturally accepted. These behaviors can be a risk factor for intimate partner violence (IPV), so it is important to design tools that allow us to detect it early. The aim of this study was to design and psychometrically assess a questionnaire for the detection of invisible violence against women (Q-IVAW). Methodology. A descriptive cross-sectional methodological study carried out in three phases: (1) development of the initial version; (2) pilot study (N = 51); and (3) final validation study (N = 990). The tool’s reliability, validity, and legibility were assessed. To assess reliability, the internal consistency (Cronbach’s α) was analyzed. The validity assessment included an analysis of content, criterion, and construct validity. Results. The EFA revealed that the Q-IVAW was comprised of five factors that explained 55.85% of the total variance found. The Q-IVAW showed very high reliability (α = 0.937), excellent content validity, and good construct validity. The criterion validity analysis showed a moderate correlation between A-IPVAW and Q-IVAW (r = 0.30; p < 0.001). Conclusion. The psychometric assessment of the Q-IVAW yielded good results, which could support the tool’s ability to assess how often women are subjected to inviable violent behaviors by their partners. MDPI 2022-09-05 /pmc/articles/PMC9518585/ /pubmed/36078848 http://dx.doi.org/10.3390/ijerph191711127 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
Dobarrio-Sanz, Iria
Fernández-Vargas, Anabel
Fernández-Férez, Alba
Vanegas-Coveña, Diana Patricia
Cordero-Ahiman, Otilia Vanessa
Granero-Molina, José
Fernández-Sola, Cayetano
Hernández-Padilla, José Manuel
Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women
title Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women
title_full Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women
title_fullStr Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women
title_full_unstemmed Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women
title_short Development and Psychometric Assessment of a Questionnaire for the Detection of Invisible Violence against Women
title_sort development and psychometric assessment of a questionnaire for the detection of invisible violence against women
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9518585/
https://www.ncbi.nlm.nih.gov/pubmed/36078848
http://dx.doi.org/10.3390/ijerph191711127
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