Análisis de datos: comparación entre las distintas perspectivas metodológicas de la Teoría Fundamentada En Los Datos

Grounded Theory (GT) has undergone many transformations since its proposition as a research method in the 1960s. As a result of these changes, three different GT approaches have been outlined: classic, straussian and constructivist ground theory, each with its peculiarities, but mainly concerning da...

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Detalhes bibliográficos
Autores: Santos, José Luís Guedes dos, Cunha, Kamylla, Adamy, Edlamar Kátia, Backes, Marli Terezinha Stein, Leite, Joséte Luzia, Sousa, Francisca Georgina Macedo de
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Recursos:Universidade de São Paulo (USP)
Repositorio:Revista da Escola de Enfermagem da USP (Online)
Idioma:portugués
inglés
OAI Identifier:oai:revistas.usp.br:article/145283
Acesso em linha:https://www.revistas.usp.br/reeusp/article/view/145283
Access Level:acceso abierto
Palavra-chave:Pesquisa Qualitativa
Pesquisa em Enfermagem
Pesquisa Metodológica em Enfermagem
Investigación Cualitativa
Investigación en Enfermería
Investigación Metodológica en Enfermería
Qualitative Research
Nursing Research
Nursing Methodology Research
Descrição
Resumo:Grounded Theory (GT) has undergone many transformations since its proposition as a research method in the 1960s. As a result of these changes, three different GT approaches have been outlined: classic, straussian and constructivist ground theory, each with its peculiarities, but mainly concerning data analysis. Thus, this study aimed to describe and compare the data analysis process adopted by the different methodological perspectives of GT. The text is organized into two topics. Firstly, we present the common and differentiating characteristics of the three methodological perspectives of GT. In sequence, the data analysis system adopted in each of the GT methodological perspectives is described and exemplified, varying between two and three stages, and may or may not include the use of the paradigmatic model. Thus, this study provides support for understanding the different data analysis systems adopted in GT, which may contribute to the rigor and scientific quality of nursing research adopting this method.