Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale

Detalhes bibliográficos
Autor(a) principal: Paolillo, A.
Data de Publicação: 2017
Outros Autores: Pasini, M., Silva, S. A., Magnano, P.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/13069
Resumo: The Diversity Climate Scale is a questionnaire developed in the U.S. for the investigation of employees’ shared perceptions about their organizational context related to women and minorities. The measure was not used in the European context yet. The psychometric properties of the Italian adaptation of the Mor Barak, Cherin and Berkman Diversity Climate Scale were investigated in this work by using a sample of Italian (n = 395) white-collar and blue-collar employees. A pilot study to make the scale suitable for the Italian context was conducted using the cognitive interview technique. Then a series of multiple-group confirmatory factor analyses was performed. The results showed that a three-factor solution best fit the data, using only 12 items of the original scale. The analyses supported factor variance and factor covariance equivalence in addition to metric equivalence. Internal consistency of the scale was good. Discriminant validity between latent factors and Criterion validity were supported.
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spelling Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scaleDiversity climateMeasurement equivalenceValidationPerceptionsOrganizational contextThe Diversity Climate Scale is a questionnaire developed in the U.S. for the investigation of employees’ shared perceptions about their organizational context related to women and minorities. The measure was not used in the European context yet. The psychometric properties of the Italian adaptation of the Mor Barak, Cherin and Berkman Diversity Climate Scale were investigated in this work by using a sample of Italian (n = 395) white-collar and blue-collar employees. A pilot study to make the scale suitable for the Italian context was conducted using the cognitive interview technique. Then a series of multiple-group confirmatory factor analyses was performed. The results showed that a three-factor solution best fit the data, using only 12 items of the original scale. The analyses supported factor variance and factor covariance equivalence in addition to metric equivalence. Internal consistency of the scale was good. Discriminant validity between latent factors and Criterion validity were supported.Springer2017-04-20T14:28:50Z2017-01-01T00:00:00Z20172019-03-21T17:37:55Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/13069eng0033-517710.1007/s11135-016-0316-3Paolillo, A.Pasini, M.Silva, S. A.Magnano, P.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:43:46Zoai:repositorio.iscte-iul.pt:10071/13069Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:38.881054Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
title Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
spellingShingle Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
Paolillo, A.
Diversity climate
Measurement equivalence
Validation
Perceptions
Organizational context
title_short Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
title_full Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
title_fullStr Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
title_full_unstemmed Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
title_sort Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
author Paolillo, A.
author_facet Paolillo, A.
Pasini, M.
Silva, S. A.
Magnano, P.
author_role author
author2 Pasini, M.
Silva, S. A.
Magnano, P.
author2_role author
author
author
dc.contributor.author.fl_str_mv Paolillo, A.
Pasini, M.
Silva, S. A.
Magnano, P.
dc.subject.por.fl_str_mv Diversity climate
Measurement equivalence
Validation
Perceptions
Organizational context
topic Diversity climate
Measurement equivalence
Validation
Perceptions
Organizational context
description The Diversity Climate Scale is a questionnaire developed in the U.S. for the investigation of employees’ shared perceptions about their organizational context related to women and minorities. The measure was not used in the European context yet. The psychometric properties of the Italian adaptation of the Mor Barak, Cherin and Berkman Diversity Climate Scale were investigated in this work by using a sample of Italian (n = 395) white-collar and blue-collar employees. A pilot study to make the scale suitable for the Italian context was conducted using the cognitive interview technique. Then a series of multiple-group confirmatory factor analyses was performed. The results showed that a three-factor solution best fit the data, using only 12 items of the original scale. The analyses supported factor variance and factor covariance equivalence in addition to metric equivalence. Internal consistency of the scale was good. Discriminant validity between latent factors and Criterion validity were supported.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-20T14:28:50Z
2017-01-01T00:00:00Z
2017
2019-03-21T17:37:55Z
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/13069
url http://hdl.handle.net/10071/13069
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language eng
dc.relation.none.fl_str_mv 0033-5177
10.1007/s11135-016-0316-3
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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