Key scholars have lauded benefits of integrating mixed methods and grounded theory-or mixed methods-grounded theory (MM-GT)-yet there have been few attempts to ascertain in what ways researchers use MM-GT. Our aim was to systematically, but not exhaustively, examine applications of MM-GT and offer procedural guidelines. We identified 61 empirical MM-GT articles and developed a codebook for analysis. MM-GT was widely used across disciplines. Most published MM-GT provided little methodological detail regarding grounded theory, mixed methods, and their integration; theoretical development was noticeably absent; and the majority followed a convergent mixed methods design. This inquiry contributes to emerging discussions regarding the ways in which MM-GT can or should be used to more fully realize the potential of this approach.
The San of Botswana have had to cope with government policies, including ones aimed at assimilation and sedentarisation which had significant impacts on their subsistence and social security. In response, San and non-government organisations working with them attempted to draw on the international discourse on indigenous peoples' rights in their efforts to assert their rights. This paper examines the background and implications of a legal case brought by San and Bakgalagadi residents of the Central Kalahari Game Reserve against the government of Botswana for the relocation of people outside of the reserve and the cessation of services and water provision. While the government of Botswana argues that the most effective strategy to deal with rural, disadvantaged peoples is to establish settlements for them to provide services, questions are raised concerning the viability of this approach.
The primary purpose of this article is to provide family physician researchers interested in conducting a qualitative research study a concise guide to the analysis. Drawing from approaches outlined in popular research methodology textbooks and employing an exemplar from a minority health disparities research study, this article outlines specific steps useful for researchers and practitioners in the field of family medicine. This process of qualitative data analysis is situated within the larger framework of qualitative research to better position those new to qualitative designs to more effectively conduct their studies. A 10-step process useful for guiding qualitative data analysis is provided. The 10 steps include (1) assembling data for analysis, (2) refamiliarising oneself with the data, (3) open or initial coding procedures, (4) generating categories and assigning codes to them, (5) generating themes from categories, (6) strategies of validation, (7) interpreting and reporting findings from the participants, (8) interpreting and reporting findings from the literature, (9) visual representations of data and findings, and (10) strengths, limitations, delimitations and suggestions for future research. This work provides clear and accessible guidelines for conducting qualitative data analysis for emerging researchers that is applicable across a wide array of topics, disciplines and settings.
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