A utilização do software QDA miner lite nas pesquisas que utilizam a análise textual discursiva

Autor:	Leonir Lorenzetti, Tamara Dias Domiciano, Ana Paula Geraldo
Rok vydání:	2020
Předmět:	Information retrieval Software Categorization Computer science business.industry media_common.quotation_subject Analysis software Quality (business) General Medicine Deconstruction business media_common Qualitative research
Zdroj:	Revista Pesquisa Qualitativa. 8:971-990
ISSN:	2525-8222 1809-0257
DOI:	10.33361/rpq.2020.v.8.n.19.367
Popis:	In the development of research, data analysis can be considered the most exhaustive and the most important stage in the production and dissemination of new knowledge. This work describes how the QDA Miner Lite was used to analyze data from two different works. In both cases, the analysis was constituted by deconstruction of the corpus, unitarization and categorization — methodological stages of the Discursive Textual Analysis. The study is characterized as qualitative and documentary research. The discussions pointed out the contributions of the software, which, combined with the Discursive Textual Analysis methodology, indicated an improvement in the quality of the investigations and positive assistance in the interpretations of the constituted data. The study made it clear that the software does not imply the exclusion of the researcher in the analysis process, but that its use refines the organization of the work, providing a more consistent understanding of what is being investigated. Keywords: Discursive Textual Analysis; Qualitative Research; Analysis Software; QDA Miner Lite.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::68e8e15817440a77389d94edd06daa5b https://doi.org/10.33361/rpq.2020.v.8.n.19.367 Zobrazit plný text záznamu