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ATLAS.ti®️ in qualitative research: Expanding horizons in oral history analysis

Herbst RS;
Frizzarini ST;
Herbst GM

Rosicler Schulka Herbst

Silvia Teresinha Frizzarini

Gilson Mauro Herbst


Keywords

ATLAS.ti
Qualitative research
Oral history
Thematic analysis
Education
Software

Abstract

This article aims to explore the importance of the ATLAS.ti® software as an essential tool in the field of qualitative research, specifically in oral history studies focused on thematic analysis. The functionality of ATLAS.ti® in the collection, organization and analysis of qualitative data is highlighted, illustrating its effectiveness through a practical case. The focus is on the way in which software contributes significantly to the preservation of the integrity of narrative data and the promotion of the generation of scientific knowledge. The methodology used for the collection and analysis of personal narratives is strongly based on the use of ATLAS.ti®, which is aligned with the Oral History techniques of Holanda and Meihy (2015). This software not only simplifies the organization and categorization of data through the coding of themes as per Braun and Clarke (2006), but also improves the analysis of interviews with detailed accuracy. It enables the creation and synchronization of networks of codes, improving the visualization of connections between themes and aiding in the discovery of important insights and connections. In addition, its functionalities include linguistic analysis and the synchronization of textual transcriptions with audiovisual files, enriching the research with paralinguistic nuances. Despite an initial learning curve, ATLAS.ti®'s capabilities are essential for systematic and detailed qualitative research, evidenced by preliminary results that highlight its effectiveness in capturing deep connections and the importance of collaboration with skilled research assistants to maximize the benefits of the software.

 

DOI:https://doi.org/10.56238/sevened2024.010-062


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2024 Rosicler Schulka Herbst, Silvia Teresinha Frizzarini, Gilson Mauro Herbst

Author(s)

  • Rosicler Schulka Herbst
  • Silvia Teresinha Frizzarini
  • Gilson Mauro Herbst