Grounded theory, the way to analyse qualitative data: A comprehensive review of literature

Evans Magaisa, Tasvika Moyo, Engelbert Chamunorwa Wilson and George Shava
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Evans Magaisa: Department of Construction Economics and Management, National University of Science and Technology, Zimbabwe
Tasvika Moyo: Zimbabwe Republic Police Bulawayo Professional Updating Centre
Engelbert Chamunorwa Wilson: Zimbabwe Republic Police SARPCCO Centre of Excellence, Harare.
George Shava: Department of Technical and Engineering Education and Training, National University of Science and Technology, Zimbabwe

International Journal of Research and Innovation in Social Science, 2022, vol. 6, issue 6, 665-668

Abstract: Grounded theory is a research approach in which data collection and analysis inform each other to construct theories of the phenomenon under study, and they take place simultaneously (Thornberg & Charmaz, 2014: 153). It is the systematic discovery of theory from data that is obtained during the social research process. Grounded theory is an aim towards conceptual thinking and theory building rather than empirical testing of a theory (Khan, 2014: 224).Grounded theory is a methodology for developing theory that is grounded in data, which is systematically gathered and analysed (Noble & Mitchell, 2016: 1). Since its inception in 1967, grounded theory has become a popular choice among researchers contemplating qualitative data approaches amongst a variety of subject backgrounds (Yu & Smith, 2021: 553). Corbin (2016: 51)notes that grounded theory is a method that rejects a dogmatic and rigid approach to doing research, but rather embraces taking the role of the other, giving voice to participants and the researcher shaping the research accordingly. Therefore, the researcher formulates new questions as the research evolves, chooses among a variety of data sources and even changes the direction of the research midway as the situation demands. Researchers therefore enter in to an investigation with an open mind ready to hear what the participants are saying. The questions that emerge from the analysis will guide the next steps in data collection and analysis.

Date: 2022
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