Developing and populating a qualitative coding framework in Quirkos

  In previous blog articles I’ve looked at some of the methodological considerations in developing a coding framework. This article looks at top-down or bottom-up approaches, whether you start with large overarching themes (a-priori) and break them down, or begin with smaller more simple themes, and gradually impose meanings and connections in an inductive approach. There’s a need in this series of articles to talk about the

Transcribing your own qualitative data

In a previous blog article I talked about some of the practicalities and costs involved in using a professional transcribing service to turn your beautifully recorded qualitative interviews and focus groups into text data ready for analysis. However, hiring a transcriber is expensive, and is often beyond the means of most post-graduate researchers.   There are also serious advantages to doing the transcription yourself that make a better

Sampling considerations in qualitative research

  Two weeks ago I talked about the importance of developing a recruitment strategy when designing a research project. This week we will do a brief overview of sampling for qualitative research, but it is a huge and complicated issue. There’s a great chapter ‘Designing and Selecting Samples’ in the book Qualitative Research Practice (Ritchie et al 2013) which goes over many of these methods in detail.   Your research

Qualitative evidence for SANDS Lothians

Charities and third sector organisations are often sitting on lots of very useful qualitative evidence, and I have already written a short blot post article on some common sources of data that can support funding applications, evaluations and impact assessments. We wanted to do a ‘qualitative case study’: to work with one local charity to explore what qualitative evidence they already had, what they could collect, and use Quirkos to

Recruitment for qualitative research

  You’ll find a lot of information and debate about sampling issues in qualitative research: discussions over ‘random’ or ‘purposeful’ sampling, the merits and pitfalls of ubiquitous ‘snowball’ sampling, and unending questions about sample size and saturation. I’m actually going to address most of these in the next blog post, but wanted to paradoxically start by looking at recruitment.