The nature of qualitative research practices is multiparadigmaticity which creates coexistence of different research and analytical approaches to the study of human experience in the living world. This diversity is particularly observed in the contemporary field of narrative research and data analysis. The purpose of this article is a methodological reflection on the process of developing typology and a proposition of new data-driven and practice-based typology of narrative analyses used by qualitative researchers in the lived experience research. I merge the CAQDAS, Corpus Linguistics, and Text Mining procedures to examine the analytical strategies inherited in a vivid language of English-language research articles, published in five influential qualitative methodological journals between 2002-2016. Using the dictionary-based content analysis in the coding process, hierarchical clustering, and topic modeling – a text-mining tool for discovering hidden semantic structures in a textual body – I confront Catherine Kohler Riessman’s heuristic typology with the data-driven approach in order to contribute the more coherent image of narrative analysis in the contemporary field of qualitative research. Finally, I propose a new model of thinking about the typology of narrative analyses based upon research practices.
This article uses a course that meets from 10 p.m. to 1 a.m. as a context to critically examine collective collaborative fieldwork as an experiential pedagogy that helps students better understand and practice qualitative fieldwork interviews. A collective interviewing experience can provide each student with practice and establish a situation for relatively sustained learning-focused dialogue and debate about interviewing ethics. With this context in mind, I critically examine how interviewing participants in a group scenario can help students understand spurned interview requests, the effects on researcher-participant relationships, and the alteration of temporal and spatial scenes in which interviews take shape as well as teach students about the important nuances of translation during interviews. Taken together, these four issues offer important ways to think about team-based fieldwork projects as an alternative to lone-ethnographer models of research practices that are foregrounded in qualitative research literature and in fieldwork-based courses.
Qualitative research methods based on literature review or expert judgement have been used to find core issues, analyze emerging trends and discover promising areas for the future. Deriving results from large amounts of information under this approach is both costly and time consuming. Besides, there is a risk that the results may be influenced by the subjective opinion of experts. In order to make up for such weaknesses, the analysis paradigm for choosing future emerging trend is undergoing a shift toward mplementing qualitative research methods along with quantitative research methods like text mining in a mutually complementary manner. The hange used to implement recent studies is being witnessed in various areas such as the steel industry, the information and communications technology industry, the construction industry in architectural engineering and so on. This study focused on retrieving aviation-related core issues and the promising areas for the future from research papers pertaining to overall aviation areas through text mining method, which is one of the big data analysis techniques. This study has limitations in that its analysis for retrieving the aviation-related core issues and promising fields was restricted to research papers containing the keyword "aviation." However, it has significance in that it prepared a quantitative analysis model for continuously monitoring the derived core issues and emerging trends regarding the promising areas for the future in the aviation industry through the application of a big data-based descriptive approach.
Drawing on the personal accounts of researchers of diversity, this chapter discusses the praxis of doing qualitative diversity research. First, it discusses how during a process of socialization, researchers are exposed to norms which promote certain research practices important to achieve the status of ‘good academic’. Second, it discusses the ambiguous and unstable power and identity dynamics characterizing qualitative research on diversity. Third, the chapter addresses the issue of translating research findings into writing, and highlights how in this process, authors have significant power, yet are also regulated in particular directions by academic conventions. Fourth, it discusses the issue of reflexivity, highlighting how it can not only be practiced in a ‘good’, but also a ‘bad’, and an ‘ugly’ way. In this way, this chapter highlights the identity- and power-laden difficulties and dilemmas confronting qualitative researchers in the field of diversity.
This chapter reflects on critical strategies in qualitative research. It examines the meanings and debates associated with the term “critical,” in particular, contrasting liberal and dialectical notions and practices in relation to social analysis and qualitative research. The chapter also explores how critical social research may be synonymous with critical ethnography in relation to issues of power, positionality, representation, and the production of situated knowledges. It uses Bhavnani’s framework to draw on Dana Collins’ research as a specific case to suggest how the notion of the “critical” relates to ethnographic research practices: ensuring feminist and queer accountability, resisting reinscription, and integrating lived experience.
Whats and Hows? The Practice-Based Typology of Narrative Analyses