![]() Researchers and developers can use this method to assemble diverse and unorganized data in a structured form. ![]() We suggest that medical education researchers should be encouraged to move away from the current dominant and privileged methodologies that seek to provide answers and explore other methods and approaches to textual data that encourage us to question and reflect more deeply. Text analysis (also known as Text Mining or Content Analysis) is a technique that computers use to extract worthwhile information from the human language in a smart and efficient manner. These two methods highlight the range of affordances, or possibilities, that textual analysis will have on the results. The adoption of these contrasting methodologies, which are not currently used extensively in medical education research, revealed that some common issues were identified by both tag clouds and PNA, but, in addition, each approach was able to unveil something unique about the text. Tag cloud analysis and performative narrative analysis (PNA) were employed to analyse Chapter 4 of the UK government's 2010 White Paper Equity and excellence: Liberating the NHS. ![]() To illustrate the theoretical points raised within this paper, two contrasting methods were applied to the same text. It encourages a purposeful deliberation of the different textual sources available as data, the range of methodological approaches possible and the types of interpretation that can be adopted when embarking on an empirical study using textual data.Īpproaches to interpreting text are varied and utilise a range of analytical and interpretative strategies. Using the techniques of close reading, qualitative text analysis provides a means to illuminate experiences that might otherwise be inaccessible to empirical. ![]() This paper offers an introduction to, and an exploration of, the range of methodological possibilities open to the education researcher who has chosen to use text as a research data source. ![]()
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