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Thematic content analysis using ATLAS.ti software: Potentialities for researchs in health
Jacks Soratto1, Denise Elvira Pires de Pires2, Susanne Friese3
1Universidade do Extremo Sul Catarinense. Criciúma, Santa Catarina, Brazil.
Revista Brasileira De Enfermagem
|April 23, 2020
Summary
This study highlights how ATLAS.ti software tools support Thematic Content Analysis procedures. This association is particularly beneficial for enhancing qualitative data analysis in health research.
Area of Science:
- Qualitative Research Methods
- Health Informatics
- Data Analysis Software
Background:
- Thematic Content Analysis is a robust qualitative data analysis method.
- Effective utilization of software tools can streamline complex analytical procedures.
- ATLAS.ti is a widely used software for qualitative data analysis.
Purpose of the Study:
- To identify key features of ATLAS.ti software.
- To align these features with the established phases of Thematic Content Analysis.
- To demonstrate the practical application of ATLAS.ti in qualitative health research.
Main Methods:
- Theoretical reflection on Laurence Bardin's Content Analysis phases.
- Association of these phases with specific ATLAS.ti software functionalities.
- Illustrative examples from health research contexts.
Main Results:
- ATLAS.ti offers historical context and diverse resources for analysis.
- Software tools directly map to and facilitate each phase of Thematic Content Analysis.
- Demonstrated utility in analyzing health research data.
Conclusions:
- ATLAS.ti software significantly aids in conducting Thematic Content Analysis.
- The integration of ATLAS.ti with Thematic Content Analysis presents a promising approach for health research.
- This synergy enhances the efficiency and rigor of qualitative health research analysis.
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