Attributions of causes for unemployment by unemployed workers
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.14417/ap.922 |
Resumo: | This study investigated the assignment of causes for unemployment by unemployed workers, with a view to analyzing the predictive power of sociodemographic variables for the assignment. A scale of causal attribution of unemployment, originally developed by Furnham, was applied to 376 unemployed people. After confirmatory factor analysis (CFA), the scale factors were used in a regression model containing sociodemographic variables as predictors. The CFA results support Furnham’s original three-factor model of unemployment causes (individualistic, societal, and fatalistic; χ2(100) = 261.53, p < 0.001; χ2/gl = 2.61; CFI = 0.91, TLI = 0.90; RMSEA = 0.06). Regression analysis identified significant prediction for only the income variable and individualistic causes factor (β = 0.15, p < 0.01), the income variable and societal causes factor (β = 0.10, p < 0.001), and the educational level variable and societal causes factor (β = -0.15, p < 0.01). Societal causes presented the highest average score, which was significantly (p < 0.001) different than the scores for the other two factors. The study concludes that educational level does not seem to have a linear impact on beliefs regarding the causes for unemployment, nor does gender have a significant influence on these beliefs. Keywords: unemployment; attributing causes; Furnham’s scale |
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Attributions of causes for unemployment by unemployed workersunemployment; attributing causes; Furnham’s scaleThis study investigated the assignment of causes for unemployment by unemployed workers, with a view to analyzing the predictive power of sociodemographic variables for the assignment. A scale of causal attribution of unemployment, originally developed by Furnham, was applied to 376 unemployed people. After confirmatory factor analysis (CFA), the scale factors were used in a regression model containing sociodemographic variables as predictors. The CFA results support Furnham’s original three-factor model of unemployment causes (individualistic, societal, and fatalistic; χ2(100) = 261.53, p < 0.001; χ2/gl = 2.61; CFI = 0.91, TLI = 0.90; RMSEA = 0.06). Regression analysis identified significant prediction for only the income variable and individualistic causes factor (β = 0.15, p < 0.01), the income variable and societal causes factor (β = 0.10, p < 0.001), and the educational level variable and societal causes factor (β = -0.15, p < 0.01). Societal causes presented the highest average score, which was significantly (p < 0.001) different than the scores for the other two factors. The study concludes that educational level does not seem to have a linear impact on beliefs regarding the causes for unemployment, nor does gender have a significant influence on these beliefs. Keywords: unemployment; attributing causes; Furnham’s scaleISPA - Instituto Universitário2015-06-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.14417/ap.922https://doi.org/10.14417/ap.922Análise Psicológica; Vol 33, No 2 (2015); 153-164Análise Psicológica; Vol 33, No 2 (2015); 153-1641646-60200870-8231reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPporhttp://publicacoes.ispa.pt/index.php/ap/article/view/922http://publicacoes.ispa.pt/index.php/ap/article/view/922/pdfhttp://publicacoes.ispa.pt/index.php/ap/article/downloadSuppFile/922/94Bendassolli, Pedro FernandoGuedes Gondim, Sonia MariaCoelho-Lima, Fellipeinfo:eu-repo/semantics/openAccess2023-05-11T10:20:16ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Attributions of causes for unemployment by unemployed workers |
title |
Attributions of causes for unemployment by unemployed workers |
spellingShingle |
Attributions of causes for unemployment by unemployed workers Bendassolli, Pedro Fernando unemployment; attributing causes; Furnham’s scale |
title_short |
Attributions of causes for unemployment by unemployed workers |
title_full |
Attributions of causes for unemployment by unemployed workers |
title_fullStr |
Attributions of causes for unemployment by unemployed workers |
title_full_unstemmed |
Attributions of causes for unemployment by unemployed workers |
title_sort |
Attributions of causes for unemployment by unemployed workers |
author |
Bendassolli, Pedro Fernando |
author_facet |
Bendassolli, Pedro Fernando Guedes Gondim, Sonia Maria Coelho-Lima, Fellipe |
author_role |
author |
author2 |
Guedes Gondim, Sonia Maria Coelho-Lima, Fellipe |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bendassolli, Pedro Fernando Guedes Gondim, Sonia Maria Coelho-Lima, Fellipe |
dc.subject.por.fl_str_mv |
unemployment; attributing causes; Furnham’s scale |
topic |
unemployment; attributing causes; Furnham’s scale |
description |
This study investigated the assignment of causes for unemployment by unemployed workers, with a view to analyzing the predictive power of sociodemographic variables for the assignment. A scale of causal attribution of unemployment, originally developed by Furnham, was applied to 376 unemployed people. After confirmatory factor analysis (CFA), the scale factors were used in a regression model containing sociodemographic variables as predictors. The CFA results support Furnham’s original three-factor model of unemployment causes (individualistic, societal, and fatalistic; χ2(100) = 261.53, p < 0.001; χ2/gl = 2.61; CFI = 0.91, TLI = 0.90; RMSEA = 0.06). Regression analysis identified significant prediction for only the income variable and individualistic causes factor (β = 0.15, p < 0.01), the income variable and societal causes factor (β = 0.10, p < 0.001), and the educational level variable and societal causes factor (β = -0.15, p < 0.01). Societal causes presented the highest average score, which was significantly (p < 0.001) different than the scores for the other two factors. The study concludes that educational level does not seem to have a linear impact on beliefs regarding the causes for unemployment, nor does gender have a significant influence on these beliefs. Keywords: unemployment; attributing causes; Furnham’s scale |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-06-30 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.14417/ap.922 https://doi.org/10.14417/ap.922 |
url |
https://doi.org/10.14417/ap.922 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://publicacoes.ispa.pt/index.php/ap/article/view/922 http://publicacoes.ispa.pt/index.php/ap/article/view/922/pdf http://publicacoes.ispa.pt/index.php/ap/article/downloadSuppFile/922/94 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ISPA - Instituto Universitário |
publisher.none.fl_str_mv |
ISPA - Instituto Universitário |
dc.source.none.fl_str_mv |
Análise Psicológica; Vol 33, No 2 (2015); 153-164 Análise Psicológica; Vol 33, No 2 (2015); 153-164 1646-6020 0870-8231 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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repository.mail.fl_str_mv |
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1777302458268123136 |