refer to attached documents
335-1534-1-RV AISHE-J Volume , Number 3 (Autumn 2017) 3351 Doing a Thematic Analysis: A Practical, Step-by-Step Guide for Learning and Teaching Scholars.* Moira Maguire & Brid Delahunt Dundalk Institute of Technology. Abstract Data analysis is central to credible qualitative research. Indeed the qualitative researcher is often described as the research instrument insofar as his or her ability to understand, describe and interpret experiences and perceptions is key to uncovering meaning in particular circumstances and contexts. While much has been written about qualitative analysis from a theoretical perspective we noticed that often novice, and even more experienced researchers, grapple with the ‘how’ of qualitative analysis. Here we draw on Braun and Clarke’s (2006) framework and apply it in a systematic manner to describe and explain the process of analysis within the context of learning and teaching research. We illustrate the process using a worked example based on (with permission) a short extract from a focus group interview, conducted with undergraduate students. Key words: Thematic analysis, qualitative methods. Acknowledgements. We gratefully acknowledge the support of National Digital Learning Repository (NDLR) local funding at DkIT in the initial development of this work. *URL: http://ojs.aishe.org/index.php/aishe-j/article/view/335 AISHE-J Volume 8, Number 3 (Autumn 2017) 3352 1. Background. Qualitative methods are widely used in learning and teaching research and scholarship (Divan, Ludwig, Matthews, Motley & Tomlienovic-Berube, 2017). While the epistemologies and theoretical assumptions can be unfamiliar and sometimes challenging to those from, for example, science and engineering backgrounds (Rowland & Myatt, 2014), there is wide appreciation of the value of these methods (e.g. Rosenthal, 2016). There are many, often excellent, texts and resources on qualitative approaches, however these tend to focus on assumptions, design and data collection rather than the analysis process per se. More and more it is recognised that clear guidance is needed on the practical aspects of how to do qualitative analysis (Clarke & Braun, 2013). As Nowell, Norris, White and Moules (2017) explain, the lack of focus on rigorous and relevant thematic analysis has implications in terms of the credibility of the research process. This article offers a practical guide to doing a thematic analysis using a worked example drawn from learning and teaching research. It is based on a resource we developed to meet the needs of our own students and we have used it successfully for a number of years. It was initially developed with local funding from[Irish] National Digital Learning Repository (NDLR) and then shared via the NDLR until this closed in 2014. In response to subsequent requests for access to it we decided to revise and develop this as an article focused more specifically on the learning and teaching context. Following Clarke & Braun’s (2013) recommendations, we use relevant primary data, include a worked example and refer readers to examples of good practice. 2. Thematic Analysis. Thematic analysis is the process of identifying patterns or themes within qualitative data. Braun & Clarke (2006) suggest that it is the first qualitative method that should be learned as ‘..it provides core skills that will be useful for conducting many other kinds of analysis’ (p.78). A further advantage, particularly from the perspective of learning and teaching, is that it is a method rather than a methodology (Braun & Clarke 2006; Clarke & Braun, 2013). This means that, unlike many qualitative methodologies, it is not tied to a particular epistemological or theoretical perspective. This makes it a very flexible method, a considerable advantage given the diversity of work in learning and teaching. AISHE-J Volume 8, Number 3 (Autumn 2017) 3353 There are many different ways to approach thematic analysis (e.g. Alhojailan, 2012; Boyatzis,1998; Javadi & Zarea, 2016). However, this variety means there is also some confusion about the nature of thematic analysis, including how it is distinct from a qualitative content analysis1 (Vaismoradi, Turunen & Bonda, 2013). In this example, we follow Braun & Clarke’s (2006) 6-step framework. This is arguably the most influential approach, in the social sciences at least, probably because it offers such a clear and usable framework for doing thematic analysis. The goal of a thematic analysis is to identify themes, i.e. patterns in the data that are important or interesting, and use these themes to address the research or say something about an issue. This is much more than simply summarising the data; a good thematic analysis interprets and makes sense of it. A common pitfall is to use the main interview questions as the themes (Clarke & Braun, 2013). Typically, this reflects the fact that the data have been summarised and organised, rather than analysed. Braun & Clarke (2006) distinguish between two levels of themes: semantic and latent. Semantic themes ‘…within the explicit or surface meanings of the data and the analyst is not looking for anything beyond what a participant has said or what has been written.’ (p.84). The analysis in this worked example identifies themes at the semantic level and is representative of much learning and teaching work. We hope you can see that analysis moves beyond describing what is said to focus on interpreting and explaining it. In contrast, the latent level looks beyond what has been said and ‘…starts to identify or examine the underlying ideas, assumptions, and conceptualisations – and ideologies - that are theorised as shaping or informing the semantic content of the data’ (p.84). 3. The Research Question And The Data. The data used in this example is an extract from one of a series of 8 focus groups involving 40 undergraduate student volunteers. The full study involved 8 focus-groups lasting about 40 minutes. These were then transcribed verbatim. The research explored the ways in which students make sense of and use feedback. Discussions focused on what students thought about the feedback they had received over the course of their studies: how they understood it; the extent to which they engaged with it and if and how they used it. The study was ethically approved by the Dundalk Institute of Technology School of Health and Science Ethics Committee. All of those who participated in the focus group from which the extract is taken 1 See O’Cathain & Thomas (2004) for a useful guide to using content analysis on responses to open- ended survey questions. AISHE-J Volume 8, Number 3 (Autumn 2017) 3354 also gave permission for the transcript extract to be used in this way. The original research questions were realist ones – we were interested in students’ own accounts of their experiences and points of view. This of course determined the interview questions and management as well the analysis. Braun & Clarke (2006) distinguish between a top-down or theoretical thematic analysis, that is driven by the specific research question(s) and/or the analyst’s focus, and a bottom-up or inductive one that is more driven by the data itself. Our analysis was driven by the research question and was more top-down than bottom up. The worked example given is based on an extract (approx. 15 mins) from a single focus group interview. Obviously this is a very limited data corpus so the analysis shown here is necessarily quite basic and limited. Where appropriate we do make reference to our full analysis however our aim was to create a clear and straightforward example that can be used as an accessible guide to analysing qualitative data. 3.1 Getting started. The extract: This is taken from a real focus-group (group-interview) that was conducted with students as part of a study that explored student perspectives on academic feedback. The extract covers about 15 minutes of the interview and is available in Appendix 1. Research question: For the purposes of this exercise we will be working with a very broad, straightforward research question: What are students’ perceptions of feedback? 3.2 Doing the analysis. Braun & Clarke (2006) provide a six-phase guide which is a very useful framework for conducting this kind of analysis (see Table 1). We recommend that you read this paper in conjunction with our worked example. In our short example we move from one step to the next, however, the phases are not necessarily linear. You may move forward and back between them, perhaps many times, particularly if dealing with a lot of complex data. Step 1: Become familiar with the data, Step 2: Generate initial codes, Step 3: Search for themes, Step 4: Review themes, Step 5: Define themes, Step 6: Write-up. Table 1: Braun & Clarke’s six-phase framework for doing a thematic analysis AISHE-J Volume 8, Number 3 (Autumn 2017) 3355 3.3 Step 1: Become familiar with the data. The first step in any qualitative analysis is reading, and re-reading the transcripts. The interview extract that forms this example can be found in Appendix 1. You should be very familiar with your entire body of data or data corpus (i.e. all the interviews and any other data you may be using) before you go any further. At this stage, it is useful to make notes and jot down early impressions. Below are some early, rough notes made on the extract: The students do seem to think that feedback is important but don’t always find it useful. There’s a sense that the whole assessment process, including feedback, can be seen as threatening and is not always understood. The students are very clear that they want very specific feedback that tells them how to improve in a personalised way. They want to be able to discuss their work on a one-to-one basis with lecturers, as this is more personal and also private. The emotional impact of feedback is important. 3.4 Step 2: Generate initial codes. In this phase we start to organise our data in a meaningful and systematic way. Coding reduces lots of data into small chunks of meaning. There are different ways to code and the method will be determined by your perspective and research questions. We were concerned with addressing specific research questions and analysed the data with this in mind – so this was a theoretical thematic analysis rather than an inductive one. Given this, we coded each segment of data that was relevant to or captured something interesting about our research question. We did not code every piece of text. However, if we had been doing a more inductive analysis we might have used line-by-line coding to code every single line. We used open coding; that means we did not have pre-set codes, but developed and modified the codes as we worked through the coding process. We had initial ideas about codes when we finished Step 1. For example, wanting to discuss feedback on a one-to one basis with tutors was an issue that kept coming up (in all the interviews, not just this extract) and was very relevant to our research question. We discussed these and developed some preliminary ideas about codes. Then each of us