Analysing Qualitative Data in Research, Processes and Features


Authors : Margaret Zinyama; Sydney Chimbganda; Farayi Matare; George Nervious Shava

Volume/Issue : Volume 7 - 2022, Issue 10 - October

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3t8kPxl

DOI : https://doi.org/10.5281/zenodo.7302310

Qualitative research methodology focuses on gaining a deeper understanding and insight of a phenomenon rather than examining superficial features. It necessitates organization of large quantities of raw data by breaking down raw data into manageable chunks and themes. Effective qualitative data analysis is vital and different methods are available to suit the research requirements. To increase credibility and trustworthiness in qualitative research, the use of well-designed qualitative data analysis and software packages is very essential. This paper frameworks key features in qualitative research and provide procedures in carrying out data analysis. Various methods for analysing qualitative data were discussed outlining where they can be used. The research focusses on the features, procedures, methods and software programs used in qualitative data analysis. It emphasizes on the importance of ensuring credibility, transferability and trustworthiness in qualitative conclusions.

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