Psychometric Properties of the Elderly Nursing Core Set
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
DOI: | 10.1007/978-3-030-16028-9_13 |
Texto Completo: | http://hdl.handle.net/10174/34051 https://doi.org/Fonseca, C., Lopes, M., Mendes, D., Parreira, P., Mónico, L., Marques, C. (2019). Psychometric Properties of the Elderly Nursing Core Set. In: García-Alonso, J., Fonseca, C. (eds) Gerontechnology. IWoG 2018. Communications in Computer and Information Science, vol 1016. Springer, Cham. https://doi.org/10.1007/978-3-030-16028-9_13 https://doi.org/10.1007/978-3-030-16028-9_13 |
Resumo: | Aim: To assess the psychometric properties of the Elderly Nursing Core Set. Methods: Cross-sectional descriptive study; convenience sample composed of 427 individuals aged 65 years old or older. Results: Factor analysis of principal components allowed extracting 4 concepts, i.e., Self-Care, Learning and Mental Functions, Communication, and Relationship with Friends and Caregivers, which explained 82.25% of the total variance. Varimax rotation indicated a very good measure of sampling adequacy (KMO = 0.947), with Bartlett’s test of sphericity (X2(300) = 11131.28, p < 0.001) and an excellent Cronbach’s alpha value of 0.963. Conclusion: The Elderly Nursing Core Set exhibits excellent psychometric properties, i.e., consistency, reliability, and internal validity, for which reason it is recommended as a means of determining the nursing care needs of individuals aged 65 years old or older and assessing the outcomes of nursing interventions targeting that population. |
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Psychometric Properties of the Elderly Nursing Core SetAgeingInternational Classification of Functioning, Disability and HealthAim: To assess the psychometric properties of the Elderly Nursing Core Set. Methods: Cross-sectional descriptive study; convenience sample composed of 427 individuals aged 65 years old or older. Results: Factor analysis of principal components allowed extracting 4 concepts, i.e., Self-Care, Learning and Mental Functions, Communication, and Relationship with Friends and Caregivers, which explained 82.25% of the total variance. Varimax rotation indicated a very good measure of sampling adequacy (KMO = 0.947), with Bartlett’s test of sphericity (X2(300) = 11131.28, p < 0.001) and an excellent Cronbach’s alpha value of 0.963. Conclusion: The Elderly Nursing Core Set exhibits excellent psychometric properties, i.e., consistency, reliability, and internal validity, for which reason it is recommended as a means of determining the nursing care needs of individuals aged 65 years old or older and assessing the outcomes of nursing interventions targeting that population.Springer Cham2023-02-08T12:49:55Z2023-02-082019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/34051https://doi.org/Fonseca, C., Lopes, M., Mendes, D., Parreira, P., Mónico, L., Marques, C. (2019). Psychometric Properties of the Elderly Nursing Core Set. In: García-Alonso, J., Fonseca, C. (eds) Gerontechnology. IWoG 2018. Communications in Computer and Information Science, vol 1016. Springer, Cham. https://doi.org/10.1007/978-3-030-16028-9_13http://hdl.handle.net/10174/34051https://doi.org/10.1007/978-3-030-16028-9_13porhttps://link.springer.com/chapter/10.1007/978-3-030-16028-9_13#citeascfonseca@uevora.ptmjl@uevora.ptndndndmcmarques@uevora.pt745Fonseca, C.Lopes, M.Mendes, D.Parreira, P.Mónico, L.Marques, M.C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:36:03Zoai:dspace.uevora.pt:10174/34051Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:22:38.102588Repositório 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 Elderly Nursing Core Set |
title |
Psychometric Properties of the Elderly Nursing Core Set |
spellingShingle |
Psychometric Properties of the Elderly Nursing Core Set Psychometric Properties of the Elderly Nursing Core Set Fonseca, C. Ageing International Classification of Functioning, Disability and Health Fonseca, C. Ageing International Classification of Functioning, Disability and Health |
title_short |
Psychometric Properties of the Elderly Nursing Core Set |
title_full |
Psychometric Properties of the Elderly Nursing Core Set |
title_fullStr |
Psychometric Properties of the Elderly Nursing Core Set Psychometric Properties of the Elderly Nursing Core Set |
title_full_unstemmed |
Psychometric Properties of the Elderly Nursing Core Set Psychometric Properties of the Elderly Nursing Core Set |
title_sort |
Psychometric Properties of the Elderly Nursing Core Set |
author |
Fonseca, C. |
author_facet |
Fonseca, C. Fonseca, C. Lopes, M. Mendes, D. Parreira, P. Mónico, L. Marques, M.C. Lopes, M. Mendes, D. Parreira, P. Mónico, L. Marques, M.C. |
author_role |
author |
author2 |
Lopes, M. Mendes, D. Parreira, P. Mónico, L. Marques, M.C. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Fonseca, C. Lopes, M. Mendes, D. Parreira, P. Mónico, L. Marques, M.C. |
dc.subject.por.fl_str_mv |
Ageing International Classification of Functioning, Disability and Health |
topic |
Ageing International Classification of Functioning, Disability and Health |
description |
Aim: To assess the psychometric properties of the Elderly Nursing Core Set. Methods: Cross-sectional descriptive study; convenience sample composed of 427 individuals aged 65 years old or older. Results: Factor analysis of principal components allowed extracting 4 concepts, i.e., Self-Care, Learning and Mental Functions, Communication, and Relationship with Friends and Caregivers, which explained 82.25% of the total variance. Varimax rotation indicated a very good measure of sampling adequacy (KMO = 0.947), with Bartlett’s test of sphericity (X2(300) = 11131.28, p < 0.001) and an excellent Cronbach’s alpha value of 0.963. Conclusion: The Elderly Nursing Core Set exhibits excellent psychometric properties, i.e., consistency, reliability, and internal validity, for which reason it is recommended as a means of determining the nursing care needs of individuals aged 65 years old or older and assessing the outcomes of nursing interventions targeting that population. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01T00:00:00Z 2023-02-08T12:49:55Z 2023-02-08 |
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 |
http://hdl.handle.net/10174/34051 https://doi.org/Fonseca, C., Lopes, M., Mendes, D., Parreira, P., Mónico, L., Marques, C. (2019). Psychometric Properties of the Elderly Nursing Core Set. In: García-Alonso, J., Fonseca, C. (eds) Gerontechnology. IWoG 2018. Communications in Computer and Information Science, vol 1016. Springer, Cham. https://doi.org/10.1007/978-3-030-16028-9_13 http://hdl.handle.net/10174/34051 https://doi.org/10.1007/978-3-030-16028-9_13 |
url |
http://hdl.handle.net/10174/34051 https://doi.org/Fonseca, C., Lopes, M., Mendes, D., Parreira, P., Mónico, L., Marques, C. (2019). Psychometric Properties of the Elderly Nursing Core Set. In: García-Alonso, J., Fonseca, C. (eds) Gerontechnology. IWoG 2018. Communications in Computer and Information Science, vol 1016. Springer, Cham. https://doi.org/10.1007/978-3-030-16028-9_13 https://doi.org/10.1007/978-3-030-16028-9_13 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://link.springer.com/chapter/10.1007/978-3-030-16028-9_13#citeas cfonseca@uevora.pt mjl@uevora.pt nd nd nd mcmarques@uevora.pt 745 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer Cham |
publisher.none.fl_str_mv |
Springer Cham |
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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 |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1822355247822012416 |
dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-030-16028-9_13 |