Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and...

Autores
Caycho Rodríguez, Tomás; Vilca, Lindsey W.; Carbajal León, Carlos; Reyes Bossio, Mario; Delgado Campusano, Mariel; Gallegos de San Vicente, Miguel Omar; Carranza Esteban, Renzo; Noe Grijalva, Martin
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The aim of the study was to translate and evaluate the psychometric evidence of the Spanish version of the COVID-19 impact scale in the general population of Peru, to measure psychological stress responses produced by the COVID-19 pandemic, including emotional responses and difficulty in performing activities of daily living. Participants were 601 Peruvians, who responded to an online survey consisting of questions designed to collect sociodemographic data, the CIS and the fear of COVID-19 scale. The forward and backward translation method was used to translate the English version into Spanish. A confirmatory factor analysis (CFA), graded response model was used to estimate the discrimination (a) and difficulty (b) parameters of the items. Multi-group CFA was used to assess measurement invariance. Regarding validity based on the validity in relation to other variables, an explanatory model was proposed using the SEM path method. The unidimensional structure of the 10-item CIS was not confirmed. Therefore, it was suggested that a six-item model of the CIS (CIS-6) provides a better fit and reliable score. The multigroup CFA showed that the CIS-6 does not exhibit measurement invariance between males and females. In addition, the CIS-6 items present adequate discrimination and difficulty indices. A higher presence of the latent trait (in this case, perception of the impact of COVID-19) is required to answer the higher response categories. The findings would help to assess those individuals more prone to the impact of the COVID-19 pandemic and to have evidence for the development of interventions aimed at decreasing the impact.
Fil: Caycho Rodríguez, Tomás. Universidad Privada del Norte; Perú
Fil: Vilca, Lindsey W.. Universidad Norbert Wiener; Perú
Fil: Carbajal León, Carlos. Universidad Norbert Wiener; Perú
Fil: Reyes Bossio, Mario. Universidad Peruana de Ciencias Aplicadas; Perú
Fil: Delgado Campusano, Mariel. Universidad Peruana de Ciencias Aplicadas; Perú
Fil: Gallegos de San Vicente, Miguel Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación. Universidad Nacional de Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación; Argentina
Fil: Carranza Esteban, Renzo. Universidad San Ignacio de Loyola; Perú
Fil: Noe Grijalva, Martin. Universidad César Vallejo; Perú
Materia
COVID-19
IMPACT OF COVID-19
INVARIANCE
VALIDITY
PANDEMIC
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/217914
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysisCaycho Rodríguez, TomásVilca, Lindsey W.Carbajal León, CarlosReyes Bossio, MarioDelgado Campusano, MarielGallegos de San Vicente, Miguel OmarCarranza Esteban, RenzoNoe Grijalva, MartinCOVID-19IMPACT OF COVID-19INVARIANCEVALIDITYPANDEMIChttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The aim of the study was to translate and evaluate the psychometric evidence of the Spanish version of the COVID-19 impact scale in the general population of Peru, to measure psychological stress responses produced by the COVID-19 pandemic, including emotional responses and difficulty in performing activities of daily living. Participants were 601 Peruvians, who responded to an online survey consisting of questions designed to collect sociodemographic data, the CIS and the fear of COVID-19 scale. The forward and backward translation method was used to translate the English version into Spanish. A confirmatory factor analysis (CFA), graded response model was used to estimate the discrimination (a) and difficulty (b) parameters of the items. Multi-group CFA was used to assess measurement invariance. Regarding validity based on the validity in relation to other variables, an explanatory model was proposed using the SEM path method. The unidimensional structure of the 10-item CIS was not confirmed. Therefore, it was suggested that a six-item model of the CIS (CIS-6) provides a better fit and reliable score. The multigroup CFA showed that the CIS-6 does not exhibit measurement invariance between males and females. In addition, the CIS-6 items present adequate discrimination and difficulty indices. A higher presence of the latent trait (in this case, perception of the impact of COVID-19) is required to answer the higher response categories. The findings would help to assess those individuals more prone to the impact of the COVID-19 pandemic and to have evidence for the development of interventions aimed at decreasing the impact.Fil: Caycho Rodríguez, Tomás. Universidad Privada del Norte; PerúFil: Vilca, Lindsey W.. Universidad Norbert Wiener; PerúFil: Carbajal León, Carlos. Universidad Norbert Wiener; PerúFil: Reyes Bossio, Mario. Universidad Peruana de Ciencias Aplicadas; PerúFil: Delgado Campusano, Mariel. Universidad Peruana de Ciencias Aplicadas; PerúFil: Gallegos de San Vicente, Miguel Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación. Universidad Nacional de Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación; ArgentinaFil: Carranza Esteban, Renzo. Universidad San Ignacio de Loyola; PerúFil: Noe Grijalva, Martin. Universidad César Vallejo; PerúModestum2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/217914Caycho Rodríguez, Tomás; Vilca, Lindsey W.; Carbajal León, Carlos; Reyes Bossio, Mario; Delgado Campusano, Mariel; et al.; Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis; Modestum; Electronic Journal of General Medicine; 19; 6; 12-2022; 1-112516-3507CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.29333/ejgm/12388info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-06T13:40:28Zoai:ri.conicet.gov.ar:11336/217914instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-06 13:40:28.937CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
title Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
spellingShingle Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
Caycho Rodríguez, Tomás
COVID-19
IMPACT OF COVID-19
INVARIANCE
VALIDITY
PANDEMIC
title_short Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
title_full Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
title_fullStr Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
title_full_unstemmed Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
title_sort Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis
dc.creator.none.fl_str_mv Caycho Rodríguez, Tomás
Vilca, Lindsey W.
Carbajal León, Carlos
Reyes Bossio, Mario
Delgado Campusano, Mariel
Gallegos de San Vicente, Miguel Omar
Carranza Esteban, Renzo
Noe Grijalva, Martin
author Caycho Rodríguez, Tomás
author_facet Caycho Rodríguez, Tomás
Vilca, Lindsey W.
Carbajal León, Carlos
Reyes Bossio, Mario
Delgado Campusano, Mariel
Gallegos de San Vicente, Miguel Omar
Carranza Esteban, Renzo
Noe Grijalva, Martin
author_role author
author2 Vilca, Lindsey W.
Carbajal León, Carlos
Reyes Bossio, Mario
Delgado Campusano, Mariel
Gallegos de San Vicente, Miguel Omar
Carranza Esteban, Renzo
Noe Grijalva, Martin
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COVID-19
IMPACT OF COVID-19
INVARIANCE
VALIDITY
PANDEMIC
topic COVID-19
IMPACT OF COVID-19
INVARIANCE
VALIDITY
PANDEMIC
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv The aim of the study was to translate and evaluate the psychometric evidence of the Spanish version of the COVID-19 impact scale in the general population of Peru, to measure psychological stress responses produced by the COVID-19 pandemic, including emotional responses and difficulty in performing activities of daily living. Participants were 601 Peruvians, who responded to an online survey consisting of questions designed to collect sociodemographic data, the CIS and the fear of COVID-19 scale. The forward and backward translation method was used to translate the English version into Spanish. A confirmatory factor analysis (CFA), graded response model was used to estimate the discrimination (a) and difficulty (b) parameters of the items. Multi-group CFA was used to assess measurement invariance. Regarding validity based on the validity in relation to other variables, an explanatory model was proposed using the SEM path method. The unidimensional structure of the 10-item CIS was not confirmed. Therefore, it was suggested that a six-item model of the CIS (CIS-6) provides a better fit and reliable score. The multigroup CFA showed that the CIS-6 does not exhibit measurement invariance between males and females. In addition, the CIS-6 items present adequate discrimination and difficulty indices. A higher presence of the latent trait (in this case, perception of the impact of COVID-19) is required to answer the higher response categories. The findings would help to assess those individuals more prone to the impact of the COVID-19 pandemic and to have evidence for the development of interventions aimed at decreasing the impact.
Fil: Caycho Rodríguez, Tomás. Universidad Privada del Norte; Perú
Fil: Vilca, Lindsey W.. Universidad Norbert Wiener; Perú
Fil: Carbajal León, Carlos. Universidad Norbert Wiener; Perú
Fil: Reyes Bossio, Mario. Universidad Peruana de Ciencias Aplicadas; Perú
Fil: Delgado Campusano, Mariel. Universidad Peruana de Ciencias Aplicadas; Perú
Fil: Gallegos de San Vicente, Miguel Omar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación. Universidad Nacional de Rosario. Instituto Rosario de Investigaciones en Ciencias de la Educación; Argentina
Fil: Carranza Esteban, Renzo. Universidad San Ignacio de Loyola; Perú
Fil: Noe Grijalva, Martin. Universidad César Vallejo; Perú
description The aim of the study was to translate and evaluate the psychometric evidence of the Spanish version of the COVID-19 impact scale in the general population of Peru, to measure psychological stress responses produced by the COVID-19 pandemic, including emotional responses and difficulty in performing activities of daily living. Participants were 601 Peruvians, who responded to an online survey consisting of questions designed to collect sociodemographic data, the CIS and the fear of COVID-19 scale. The forward and backward translation method was used to translate the English version into Spanish. A confirmatory factor analysis (CFA), graded response model was used to estimate the discrimination (a) and difficulty (b) parameters of the items. Multi-group CFA was used to assess measurement invariance. Regarding validity based on the validity in relation to other variables, an explanatory model was proposed using the SEM path method. The unidimensional structure of the 10-item CIS was not confirmed. Therefore, it was suggested that a six-item model of the CIS (CIS-6) provides a better fit and reliable score. The multigroup CFA showed that the CIS-6 does not exhibit measurement invariance between males and females. In addition, the CIS-6 items present adequate discrimination and difficulty indices. A higher presence of the latent trait (in this case, perception of the impact of COVID-19) is required to answer the higher response categories. The findings would help to assess those individuals more prone to the impact of the COVID-19 pandemic and to have evidence for the development of interventions aimed at decreasing the impact.
publishDate 2022
dc.date.none.fl_str_mv 2022-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/217914
Caycho Rodríguez, Tomás; Vilca, Lindsey W.; Carbajal León, Carlos; Reyes Bossio, Mario; Delgado Campusano, Mariel; et al.; Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis; Modestum; Electronic Journal of General Medicine; 19; 6; 12-2022; 1-11
2516-3507
CONICET Digital
CONICET
url http://hdl.handle.net/11336/217914
identifier_str_mv Caycho Rodríguez, Tomás; Vilca, Lindsey W.; Carbajal León, Carlos; Reyes Bossio, Mario; Delgado Campusano, Mariel; et al.; Psychometric evidence of a new short version in Spanish of the COVID-19 impact scale: A study based on confirmatory factor analysis, graded response model, multigroup analysis, and path analysis; Modestum; Electronic Journal of General Medicine; 19; 6; 12-2022; 1-11
2516-3507
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.29333/ejgm/12388
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Modestum
publisher.none.fl_str_mv Modestum
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.604905

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