This article provides a critical realist (CR) alternative to the standard approaches to Thematic Analysis (TA) in qualitative research, namely the Braun-Clarke approach (reflexivity while coding themes), the Attride-Sterling approach (clustering basic, global and organizing themes), and Boyatzis' approach (clarifying criteria for assessing the absence/presence of themes in the raw material). In the CR traditions, the experiential themes /inferential themes /dispositional themes and the data/codes/themes distinctions have been proposed recently as the methodological device for answering the question “what is the (...) theme”. The aim of this article is threefold. First, I bring to light the inconsistencies of the non-CR approaches to TA, second, I discuss critically the CR approaches to TA and finally I offer a CR-based approach to TA which builds upon them by introducing specific innovations from social network analysis which make abductive and retroductive reasoning a shareable procedure for answering “what is the theme?”. (shrink)

Research necessarily entails the close interrelation of concepts and arguments, including solutions to a range of meta-questions, whether acknowledged explicitly or not. Despite this, few detailed accounts currently exist that support researchers to develop their complex conceptual architectures, especially in critical realist spheres. Indeed, many published accounts often omit much of this ‘messiness’ that sits behind, yet is foundational to, research projects. Those accounts that do seek to portray how/why researchers have made decisions (e.g. about connections between research philosophy, methodology, (...) methods, theory and empirical evidence) tend to focus on one set of meta-questions, or occasionally on the relationships between two sets, at a time. Therefore, this paper presents a flexible framework – supported by specific examples from studies – that we hope will be useful in supporting researchers from all traditions, but especially critical realists, to carefully think through and develop more holistic connections in their conceptual architecture. (shrink)

I shall argue that although ontology is important, we also have to pay attention to other features of the intellectual landscape, including epistemology and issues to do with judgemental rationalit...