In this essay, we explored the feasibility of utilizing artificial intelligence (AI) for qualitative data analysis in equity-focused research. Specifically, we compare thematic analyses of interview transcripts conducted by human coders with those performed by GPT-3 using a zero-shot chain-of-thought prompting strategy. Our results suggest that…

Background: Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should…

Not knowing the population size is a common problem in data-limited contexts. Drawing on work in Sierra Leone, this short take outlines a four-step solution to this problem: (1) estimate the population size using expert interviews; (2) verify estimates using interviews with participants sampled; (3) triangulate using secondary data; and (4)…

What do we do with emotion in biographical research: is it an end in itself, a symptom to be explained, a thread to be pulled? This paper presents an experiment in methodology within a field of biographical methods that involved revisiting a single qualitative interview after the elapse of thirty years. The interview with 22 year old Stacey was…

This study explores the integration of generative artificial intelligence (AI) into qualitative research within a higher education context. Through a collaborative self-study, a doctoral candidate and their dissertation supervisor examined the application of Google's Gemini 1.5 to analyze interview data from a dissertation of practice (DiP)…

Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and index cards. Today, electronic documents can be flexibly stored, retrieved, and cross-referenced using qualitative data analysis (QDA) software. We argue the oft-cited grounded theory framework poorly fits many…

This case discusses how scenario-based interviews can be used to develop research into policy and practice. Based on data collected from U.K. further education management settings, it shows how and why scenario-based interviews were used. It also explains how the data collected were then used to illustrate and analyze the implementation of a…

Much care has been paid to reflexivity, including considering emotional sensitivities?in relation to face-to-face interviews. However, less attention has been paid to the impact of sensitivities on the process of data?analysis and the presentation of research findings. This paper focuses on?what constitutes 'the data' to be analysed, who analyses…

Qualitative data analysis has been criticised for a lack of credibility over recent years when vagueness has been afforded to the reporting of how findings are attained. In response, there has been a growing body of literature emphasising a need to detail methods of qualitative data analysis. This paper adds to this body of knowledge by presenting…

Writing researchers have long sought to make tacit writing knowledge explicit, rendering it available for learning and critique. We advance this endeavor by describing our use of the "tool-based interview" (TBI) as a variation of Odell, Goswami, and Herrington's influential discourse-based interview (DBI). Rather than the product-focused…

Leveraging ground-breaking work of Black feminist scholars alongside established techniques of focus group and community-based participatory research, we explain sister-girl talk as a novel method for collecting and analyzing group interview data with Black women. We outline the procedures for consultation, facilitation and preliminary analysis of…

To develop competency in science practices, such as data analysis and interpretation, chemistry learners must develop an understanding of what makes an analysis and interpretation "good" (i.e., the criteria for success). One way that individuals extract the criteria for success in a novel situation is through making social comparisons,…

As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…

This case study discusses how theory and deductive analysis can be used to better understand work-based learning (WBL). Based in a U.K. teacher education setting, it discusses a project which examined how novice teachers in English Further Education develop their professional knowledge and how their experiences might help understand WBL more…