Circles and feedback loops in qualitative research

The best qualitative research forms an iterative loop, examining, and then re-examining. There are multiple reads of data, multiple layers of coding, and hopefully, constantly improving theory and insight into the underlying lived world. During the research process it is best to try to be in a constant state of feedback with your data, and theory. During your literature review, you may have several cycles through the published literature, with

Triangulation in qualitative research

  Triangles are my favourite shape,   Three points where two lines meet                                                                            alt-J   Qualitative methods are sometimes criticised as being subjective, based on single,

100 blog articles on qualitative research!

  Since our regular series of articles started nearly three years ago, we have clocked up 100 blog posts on a wide variety of topics in qualitative research and analysis! These are mainly short overviews, aimed at students, newcomers and those looking to refresh their practice. However, they are all referenced with links to full-text academic articles should you need more depth. Some articles also cover practical tips that don't get into

Thinking About Me: Reflexivity in science and qualitative research

Reflexivity is a process (and it should be a continuing process) of reflecting on how the researcher could be influencing a research project. In a traditional positivist research paradigm, the researcher attempts to be a neutral influence on  research. They make rational and logical interpretations, and assume a ‘null hypothesis’, in which they expect all experiments to have no effect, and have no pre-defined concept of what

The importance of keeping open-ended qualitative responses in surveys

I once had a very interesting conversation at a MRS event with a market researcher from a major media company. He told me that they were increasingly ‘costing-out’ the qualitative open-ended questions from customer surveys because they were too expensive and time consuming to analyse. Increasingly they were replacing open-ended questions with a series of Likert scale questions which could be automatically and statistically