Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries

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The invariance of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) was evaluated in 12 Latin American countries (Argentina, Bolivia, Chile, Colombia, Cuba, Ecuador, El Salvador, Guatemala, Mexico, Paraguay, Peru, and Uruguay). A total of 5183 people from the aforementioned countries partici...

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dc.title.es_PE.fl_str_mv Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
title Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
spellingShingle Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
Caycho-Rodríguez, Tomás
COVID-19
Preventive behaviors
Invariance
title_short Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
title_full Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
title_fullStr Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
title_full_unstemmed Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
title_sort Cross-Cultural Validation of a New Version in Spanish of Four Items of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) in Twelve Latin American Countries
author Caycho-Rodríguez, Tomás
author_facet Caycho-Rodríguez, Tomás
Vilca, Lindsey W.
Valencia, Pablo D.
Carbajal-León, Carlos
Vivanco-Vidal, Andrea
Saroli-Araníbar, Daniela
Reyes-Bossio, Mario
White, Michel
Rojas-Jara, Claudio
Polanco-Carrasco, Roberto
Gallegos, Miguel
Cervigni, Mauricio
Martino, Pablo
Palacios, Diego Alejandro
Moreta-Herrera, Rodrigo
Samaniego-Pinho, Antonio
Lobos-Rivera, Marlon Elías
Ferrari, Ilka Franco
Flores-Mendoza, Carmen
Figares, Andrés Buschiazzo
Puerta-Cortés, Diana Ximena
Corrales-Reyes, Ibraín Enrique
Calderón, Raymundo
Tapia, Bismarck Pinto
Gallegos, Walter L. Arias
author_role author
author2 Vilca, Lindsey W.
Valencia, Pablo D.
Carbajal-León, Carlos
Vivanco-Vidal, Andrea
Saroli-Araníbar, Daniela
Reyes-Bossio, Mario
White, Michel
Rojas-Jara, Claudio
Polanco-Carrasco, Roberto
Gallegos, Miguel
Cervigni, Mauricio
Martino, Pablo
Palacios, Diego Alejandro
Moreta-Herrera, Rodrigo
Samaniego-Pinho, Antonio
Lobos-Rivera, Marlon Elías
Ferrari, Ilka Franco
Flores-Mendoza, Carmen
Figares, Andrés Buschiazzo
Puerta-Cortés, Diana Ximena
Corrales-Reyes, Ibraín Enrique
Calderón, Raymundo
Tapia, Bismarck Pinto
Gallegos, Walter L. Arias
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Caycho-Rodríguez, Tomás
Vilca, Lindsey W.
Valencia, Pablo D.
Carbajal-León, Carlos
Vivanco-Vidal, Andrea
Saroli-Araníbar, Daniela
Reyes-Bossio, Mario
White, Michel
Rojas-Jara, Claudio
Polanco-Carrasco, Roberto
Gallegos, Miguel
Cervigni, Mauricio
Martino, Pablo
Palacios, Diego Alejandro
Moreta-Herrera, Rodrigo
Samaniego-Pinho, Antonio
Lobos-Rivera, Marlon Elías
Ferrari, Ilka Franco
Flores-Mendoza, Carmen
Figares, Andrés Buschiazzo
Puerta-Cortés, Diana Ximena
Corrales-Reyes, Ibraín Enrique
Calderón, Raymundo
Tapia, Bismarck Pinto
Gallegos, Walter L. Arias
dc.subject.es_PE.fl_str_mv COVID-19
Preventive behaviors
Invariance
topic COVID-19
Preventive behaviors
Invariance
description The invariance of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) was evaluated in 12 Latin American countries (Argentina, Bolivia, Chile, Colombia, Cuba, Ecuador, El Salvador, Guatemala, Mexico, Paraguay, Peru, and Uruguay). A total of 5183 people from the aforementioned countries participated, selected using the snowball sampling method. Measurement invariance was assessed by multigroup confirmatory factor analysis (MG-CFA) and Multi-Group Factor Analysis Alignment (CFA-MIAL). In addition, item characteristics were assessed based on Item Response Theory. The results indicate that the original five-item version of the PCIBS is not adequate; whereas a four-item version of the PCIBS (PCIBS-4) showed a good fit in all countries. Thus, using the MG-CFA method, the PCIBS-4 achieved metric invariance, while the CFA-MIAL method indicated that the PCIBS-4 shows metric and scalar invariance. Likewise, the four items present increasing difficulties and high values in the discrimination parameters. The comparison of means of the PCIBS-4 reported irrelevant differences between countries; however, Mexico and Peru presented the highest frequency of preventive behaviors related to COVID-19. The PCIBS-4 is a unidimensional self-report measure which is reliable and invariant across the twelve participating Latin American countries.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2024-12-02T03:15:41Z
dc.date.available.none.fl_str_mv 2024-12-02T03:15:41Z
dc.date.issued.fl_str_mv 2021-11-16
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.3389/fpsyg.2021.763993
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/682058
dc.identifier.eissn.none.fl_str_mv 1664-1078
dc.identifier.journal.es_PE.fl_str_mv Cross-Cultural Validation PCIBS
dc.identifier.pii.none.fl_str_mv 10.3389/fpsyg.2021.763993
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.3389/fpsyg.2021.763993
1664-1078
Cross-Cultural Validation PCIBS
0000 0001 2196 144X
url http://hdl.handle.net/10757/682058
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Frontiers Media SA
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Academico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
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instname_str Universidad Peruana de Ciencias Aplicadas
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dc.source.journaltitle.none.fl_str_mv Frontiers in Psychology
dc.source.volume.none.fl_str_mv 12
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Arias2024-12-02T03:15:41Z2024-12-02T03:15:41Z2021-11-1610.3389/fpsyg.2021.763993http://hdl.handle.net/10757/6820581664-1078Cross-Cultural Validation PCIBS10.3389/fpsyg.2021.7639930000 0001 2196 144XThe invariance of the Preventive COVID-19 Infection Behaviors Scale (PCIBS) was evaluated in 12 Latin American countries (Argentina, Bolivia, Chile, Colombia, Cuba, Ecuador, El Salvador, Guatemala, Mexico, Paraguay, Peru, and Uruguay). A total of 5183 people from the aforementioned countries participated, selected using the snowball sampling method. Measurement invariance was assessed by multigroup confirmatory factor analysis (MG-CFA) and Multi-Group Factor Analysis Alignment (CFA-MIAL). In addition, item characteristics were assessed based on Item Response Theory. The results indicate that the original five-item version of the PCIBS is not adequate; whereas a four-item version of the PCIBS (PCIBS-4) showed a good fit in all countries. Thus, using the MG-CFA method, the PCIBS-4 achieved metric invariance, while the CFA-MIAL method indicated that the PCIBS-4 shows metric and scalar invariance. Likewise, the four items present increasing difficulties and high values in the discrimination parameters. The comparison of means of the PCIBS-4 reported irrelevant differences between countries; however, Mexico and Peru presented the highest frequency of preventive behaviors related to COVID-19. 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