Using Rqda in Qualitative Data Analysis: A Tool for Researching Chronic Pelvic Pain Using Thematic Analysis

• Autor(a) principal: Bruna Helena Mellado
• Data de Publicação: 2020
• Outros Autores: Catarina Brandão, Taynara Louisi Pilger, Francisco José Candido dos Reis
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://doi.org/10.36367/ntqr.1.2020.153-170
• topic: Computer-Assisted Qualitative Data Analysis Software, RQDA, Thematic Analysis, Pelvic Pain.

Computer-assisted qualitative data analysis software (CAQDAS) provides tools that help researchers develop qualitative research projects. These software packages support users with tasks such as transcription analysis, text encoding and interpretation, writing and annotation, searching, recursive abstraction, and data mapping, enabling the use of different methods (e.g., grounded theory) and analysis techniques (e.g., content analysis or discourse analysis). The choice of CAQDAS is directly related to the researcher’s chosen methodological approach. The amount and variety of software available often makes the choice process difficult. In Brazil, the data on the use of CAQDAS is still scarce. Commercial software packages are more frequently cited. Open-source packages, like RQDA, are less popular. In this chapter, we present our experience with the use of RQDA to analyze the data from a qualitative study on chronic pelvic pain in women.