Medidas de qualidade de vida relacionadas à saúde normalmente distribuídas
DOI:
https://doi.org/10.23882/rmd.25261Palavras-chave:
QVRS, Agregação aritmética, Distribuição normal, Pontuações equivalentes, Caminho de progresso, Validade fatorialResumo
Antecedentes: Distribuições não normais de medidas de Qualidade de Vida Relacionada à Saúde (QVRS) violam pressupostos básicos da análise estatística paramétrica. Testar a normalidade dos dados é um pré-requisito para a seleção de testes e técnicas estatísticas. Diferentes métodos de teste de normalidade fornecem resultados contrastantes. Objetivo: Evitando os problemas de discrepâncias de testes de normalidade, o artigo descreve métodos para transformar pontuações de itens ordinais de ferramentas de QVRS em pontuações equidistantes, facilitando a adição significativa e posterior transformação linear às pontuações propostas que podem ser adicionadas para obter pontuações de dimensão e pontuações de testes, cada uma seguindo distribuição normal, cujos parâmetros podem ser estimados a partir dos dados.
Resultados: A distribuição das pontuações de QVRS como convolução de pontuações de itens normalmente distribuídas facilita a agregação aritmética significativa e fornece plataforma para realizar análises paramétricas com propriedades desejadas, como plotagem de progresso/declínio de QVRS ao longo do tempo, teste estatístico de hipótese, identificação de indicadores críticos, encontrar equivalentes pontuações de duas ou mais ferramentas de QVRS, etc.
Conclusões: Os métodos propostos de escores de QVRS com normalidade e amplas áreas de aplicação com melhores medidas de confiabilidade, recomendam validade em termos de maior autovalor.
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