Browsing by Author "Ogunbanjo, Gboyega, A."

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    African primary care research : performing surveys using questionnaires
    (AOSIS Publishing, 2014-05) Govender, Indiran; Mabuza, Langalibalele, H.; Ogunbanjo, Gboyega, A.; Mash, Bob
    The aim of this article is to provide practical guidance on conducting surveys and the use of questionnaires for postgraduate students at a Masters level who are undertaking primary care research. The article is intended to assist with writing the methods section of the research proposal and thinking through the relevant issues that apply to sample size calculation, sampling strategy, design of a questionnaire and administration of a questionnaire. The article is part of a larger series on primary care research, with other articles in the series focusing on the structure of the research proposal and the literature review, as well as quantitative data analysis.
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    African primary care research : qualitative data analysis and writing results
    (AOSIS Publishing, 2014-06) Mabuza, Langalibalele H.; Govender, Indiran; Ogunbanjo, Gboyega, A.; Mash, Bob
    This article is part of a series on African primary care research and gives practical guidance on qualitative data analysis and the presentation of qualitative findings. After an overview of qualitative methods and analytical approaches, the article focuses particularly on content analysis, using the framework method as an example. The steps of familiarisation, creating a thematic index, indexing, charting, interpretation and confirmation are described. Key concepts with regard to establishing the quality and trustworthiness of data analysis are described. Finally, an approach to the presentation of qualitative findings is given.
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    African primary care research : quantitative analysis and presentation of results
    (AOSIS Publishing, 2014-06) Mash, Bob; Ogunbanjo, Gboyega, A.
    This article is part of a series on Primary Care Research Methods. The article describes types of continuous and categorical data, how to capture data in a spreadsheet, how to use descriptive and inferential statistics and, finally, gives advice on how to present the results in text, figures and tables. The article intends to help Master’s level students with writing the data analysis section of their research proposal and presenting their results in their final research report.