OBJECTIVE:To evaluate the reliability of an instrument for classifying elderly people regarding their capacity for self-care, which was developed to assist occupational therapists in attending elderly people at primary healthcare units. METHODS:Stability and internal consistency tests were carried out. To validate the instrument, tests were applied to a sample of 30 individuals aged 60 years and over, on two occasions. The statistical analysis was performed after careful grouping of the responses. This led to the formulation of a simplifi ed version of the instrument. The stability of this version was assessed using the kappa coeffi cient and the internal consistency by Cronbach's alpha coeffi cient. RESULTS:The stability ranged from moderate to excellent. The internal consistency was checked only for areas that were shown to be appropriate for using the methodology, based on calculations of Cronbach's alpha: three of the six questions in the "social profi le" area and the blocks of basic and instrumental activities of daily living in the "functional capacity" area, which respectively consisted of nine and eight activities. CONCLUSIONS:Following the stability and internal consistency tests, the instrument made it possible to succinctly and simply classify elderly people with regard to their functional capacity for basic and instrumental activities, and to characterize them regarding other aspects of self-care. The evidence regarding its reliability and validity could be expanded by means of new studies.
Following the stability and internal consistency tests, the instrument made it possible to succinctly and simply classify elderly people with regard to their functional capacity for basic and instrumental activities, and to characterize them regarding other aspects of self-care. The evidence regarding its reliability and validity could be expanded by means of new studies.
Estudamos, nessa dissertação, um modelo bayesiano desenvolvido para a Análise de Preferência Conjunta, proposto por Marshall e Bradlow (2002). Este modelo incorpora dados obtidos a partir dos métodos de colete de composição e de decomposição e, apesar de ser estruturado para avaliações feitas por atribuição de notas, pode ser estendido para casos nos quais as avaliações coletadas na íhse de decomposição tenham sido feitas através de soma-constante, ordenamento ou escolha discreta.Através da abordagem bayesiana, o modelo utiliza as informações coletadas no método de composição como informação a phoH sobre as utilidades não-observadas(coeficientes que correspondem às contribuições parciais dos níveis dos atributos). Na construção da função de verossimilhança, utiliza as informações coletadas no método de decomposição. Com isso, a distribuição a posfeHor{ resultante, além de reunir toda a informação disponível, leva a um estimador que pondera essas informações. A obtenção das estimativa.s é feita pelo método de amostragem de Gibbs.Iniciamos a dissertação com uma revisão sobre os conceitos básicos de Análise de Preferência Conjunta e, após introduzir o Modelo Bayesiano de Marshall e Bradlow, apresentamos uma aplicação deste modelo a dados reais. Nessa aplicação, verificamos a vantagem de utilizar esse modelo com um número reduzido de estímulos.
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