USE OF GROUNDED THEORY IN THE EXTRACTION, CODING AND ANALYSIS OF DATA IN LITERATURE META-ANALYSES

Abstract

Objective: to describe the conduction of data extraction, analysis and codification using the Straussian perspective of Grounded Theory, in Literature Meta-analysis. Method: this is a theoretical-reflexive study on the data extraction from reviews with meta-anaylses. To design the process of searching for qualitative studies, this study briefly addresses the sequential steps of Preferred Reporting Items for Systematic Review and Meta-Analyses and the Joanna Briggs Institute. The extraction, analysis and codification process were carried out following the assumptions of grounded theory, with the Straussian perspective. They are the theoretical-methodological bases in the first stages of the guidelines of the literature review and Meta-analyses guides, starting with the research question until reaching the review stages, divided into identification, selection, eligibility, and inclusion. Results: the results describe the process of data extraction, analysis and codification from the Straussian perspective, using comparative analysis of data, memoranda, diagrams and possibilities of new sample groups from the detailed analytical reading of the included studies. Finally, theoretical saturation is performed, with an analysis of the findings, with examples of categories and subcategories, the emergence of the central phenomenon and presentation of the paradigmatic model. Conclusion: the essay presents subsidies for the understanding of the conduction of extraction, analysis and codification of data in meta-analyses based on the Straussian perspective, enabling the systematized analysis of qualitative evidence and contributing to the development of models or theories of conceptual character.