Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/32886 |
Resumo: | The Glasgow Sleep Effort Scale (GSES) was developed with the aim of measuring sleep effort. The present study evaluates the psychometric properties of the European Portuguese version of the GSES through Classical Test Theory (CTT), Item Response Theory (IRT), and Network Analysis (NA). It was used an existing database comprising a community sample of 227 Portuguese adults, aged 20–74 (M = 42.99; SD = 12.44) years old, encopassing 49.8% men and 50.2% women. In CFA, a well-adjusted to data one-factor model was identified, with sleep effort as the single factor. IRT analysis indicated an adequate performance of all items and satisfactory coverage of the latent trait, with items 3 (a = 3.37), 4 (a = 3 .18), and 6 (a = 3.02) as the most discriminative ones. Considering NA, items 4 and 7 presented the strongest edge weight (.48). Item 1 was displayed at the centre of the networks and accounted for the largest number of connections with the remaining items. The results suggest that the GSES is a reliable measure, comprising highly discriminative items with good centrality indices. Moreover, the measure is particularly important in the evaluation of individuals with moderate to severe levels of sleep effort. We underline the application of more contemporary psychometric techniques (IRT and NA) beyond CTT in the emergent sophistication of measures with the integration of approaches. Specifically, this study builds upon the evidence regarding the development of shorter, yet reliable and valid measures in the sleep medicine area to face the overloading of patients with extensive research protocols and clinical evaluations. |
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Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysisInsomniaSleep effortPsychometricsClassical test theoryItem response theoryNetwork analysisThe Glasgow Sleep Effort Scale (GSES) was developed with the aim of measuring sleep effort. The present study evaluates the psychometric properties of the European Portuguese version of the GSES through Classical Test Theory (CTT), Item Response Theory (IRT), and Network Analysis (NA). It was used an existing database comprising a community sample of 227 Portuguese adults, aged 20–74 (M = 42.99; SD = 12.44) years old, encopassing 49.8% men and 50.2% women. In CFA, a well-adjusted to data one-factor model was identified, with sleep effort as the single factor. IRT analysis indicated an adequate performance of all items and satisfactory coverage of the latent trait, with items 3 (a = 3.37), 4 (a = 3 .18), and 6 (a = 3.02) as the most discriminative ones. Considering NA, items 4 and 7 presented the strongest edge weight (.48). Item 1 was displayed at the centre of the networks and accounted for the largest number of connections with the remaining items. The results suggest that the GSES is a reliable measure, comprising highly discriminative items with good centrality indices. Moreover, the measure is particularly important in the evaluation of individuals with moderate to severe levels of sleep effort. We underline the application of more contemporary psychometric techniques (IRT and NA) beyond CTT in the emergent sophistication of measures with the integration of approaches. Specifically, this study builds upon the evidence regarding the development of shorter, yet reliable and valid measures in the sleep medicine area to face the overloading of patients with extensive research protocols and clinical evaluations.A Glasgow Sleep Effort Scale (GSES) foi desenvolvida com o objetivo de medir o esforço para dormir. O presente estudo visa avaliar as propriedades psicométricas da sua versão em Português Europeu através da Teoria Clássica dos Testes (TCT), Análise da Teoria da Resposta ao Item (TRI) e Análise de Redes (AR). Para tal, foi usada uma base de dados existente, composta por uma amostra comunitária de 227 adultos Portugueses, com idades entre os 20 e os 74 (M = 42.99; DP = 12.44) anos, compreendendo 49.8% homens e 50.2% mulheres. Na AFC, um modelo de um fator bem ajustado aos dados foi identificado, com o esforço para dormir como o único fator. A análise TRI indicou um desempenho adequado de todos os itens com uma cobertura satisfatória do traço latente, em que os itens item 3 (a = 3.37), 4 (a = 3.18) e 6 (a = 3.02) foram os mais discriminativos. Tendo em conta a AR, os itens 4 e 7 apresentaram a maior edge weight (.48) em 21 correlações positivas. O item 1 foi posicionado no centro da rede e contou com o maior número de conexões com os restantes itens. Os resultados sugerem que a GSES é um exemplo de uma medida fidedigna, com itens muito discriminativos e com bons índices de centralidade. Além disso, a medida é particularmente importante na avaliação de indivíduos com níveis moderados a severos de esforço para dormir. Sublinha-se, assim, a aplicação de técnicas psicométricas mais contemporâneas (TRI e AR) para além da TCT na sofisticação emergente de medidas com a integração destas abordagens. Especificamente, este estudo contribui para a evidência no desenvolvimento de medidas mais curtas, fidedignas e válidas para colmatar a sobrecarga dos pacientes com protocolos de pesquisa e avaliações clínicas extensivas.2023-11-08T00:00:00Z2021-11-08T00:00:00Z2021-11-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/32886engDias, Sofia Alexandra Fontourainfo: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:RCAAP2024-02-22T12:03:21Zoai:ria.ua.pt:10773/32886Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:04:26.189938Repositório 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 |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
title |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
spellingShingle |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis Dias, Sofia Alexandra Fontoura Insomnia Sleep effort Psychometrics Classical test theory Item response theory Network analysis |
title_short |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
title_full |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
title_fullStr |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
title_full_unstemmed |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
title_sort |
Study of the Glasgow Sleep Effort Scale (GSES) psychometric properties through CTT, IRT and network analysis |
author |
Dias, Sofia Alexandra Fontoura |
author_facet |
Dias, Sofia Alexandra Fontoura |
author_role |
author |
dc.contributor.author.fl_str_mv |
Dias, Sofia Alexandra Fontoura |
dc.subject.por.fl_str_mv |
Insomnia Sleep effort Psychometrics Classical test theory Item response theory Network analysis |
topic |
Insomnia Sleep effort Psychometrics Classical test theory Item response theory Network analysis |
description |
The Glasgow Sleep Effort Scale (GSES) was developed with the aim of measuring sleep effort. The present study evaluates the psychometric properties of the European Portuguese version of the GSES through Classical Test Theory (CTT), Item Response Theory (IRT), and Network Analysis (NA). It was used an existing database comprising a community sample of 227 Portuguese adults, aged 20–74 (M = 42.99; SD = 12.44) years old, encopassing 49.8% men and 50.2% women. In CFA, a well-adjusted to data one-factor model was identified, with sleep effort as the single factor. IRT analysis indicated an adequate performance of all items and satisfactory coverage of the latent trait, with items 3 (a = 3.37), 4 (a = 3 .18), and 6 (a = 3.02) as the most discriminative ones. Considering NA, items 4 and 7 presented the strongest edge weight (.48). Item 1 was displayed at the centre of the networks and accounted for the largest number of connections with the remaining items. The results suggest that the GSES is a reliable measure, comprising highly discriminative items with good centrality indices. Moreover, the measure is particularly important in the evaluation of individuals with moderate to severe levels of sleep effort. We underline the application of more contemporary psychometric techniques (IRT and NA) beyond CTT in the emergent sophistication of measures with the integration of approaches. Specifically, this study builds upon the evidence regarding the development of shorter, yet reliable and valid measures in the sleep medicine area to face the overloading of patients with extensive research protocols and clinical evaluations. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-08T00:00:00Z 2021-11-08 2023-11-08T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/32886 |
url |
http://hdl.handle.net/10773/32886 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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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1799137699693592576 |