Some practical aspects of qualitative data analysis: One way of organising the cognitive processes associated with the generation of grounded theory

1981 ◽  
Vol 15 (3) ◽  
Author(s):  
BarryA. Turner

This chapter introduces readers to the basics of data analysis and the practical handling of open, axial, and selective coding within and outside the grounded theory. Readers are introduced to segmentation/reassembling, constant comparative, and analytic induction concepts in qualitative data analysis in the first section of this chapter. They should be able to trace the origin of coding of qualitative data in qualitative research. The stages of qualitative data analysis are discussed in the second section. The third section takes readers through the practical steps of open, axial, and selective coding, and detailed examples are given.


This chapter illustrates how to do qualitative data analysis. The principles of grounded theory methodology are taken as the main reference for developing a rigorous analysis of the data. Several examples and case studies are discussed to show the practicalities of qualitative data analysis. While explaining the mechanisms of qualitative data analysis, this chapter frames data analysis as part of the overall research process. Methods used in qualitative research give access to people's stories and experiences through language and captures the complexities of social processes. Grounded theory methodology is used to illustrate an approach to coding. Coding is about finding key themes in qualitative data in the form of a text and developing explanations of the research questions. Several approaches to coding—from open and axial coding to selective coding—are systematically presented. Issues of validity and reliability of qualitative data are also addressed within the overall process of research and data analysis leading to the writing-up.


2018 ◽  
Vol 17 (1) ◽  
pp. 160940691878636 ◽  
Author(s):  
Carmel Maher ◽  
Mark Hadfield ◽  
Maggie Hutchings ◽  
Adam de Eyto

Deep and insightful interactions with the data are a prerequisite for qualitative data interpretation, in particular, in the generation of grounded theory. The researcher must also employ imaginative insight as they attempt to make sense of the data and generate understanding and theory. Design research is also dependent upon the researchers’ creative interpretation of the data. To support the research process, designers surround themselves with data, both as a source of empirical information and inspiration to trigger imaginative insights. Constant interaction with the data is integral to design research methodology. This article explores a design researchers approach to qualitative data analysis, in particular, the use of traditional tools such as colored pens, paper, and sticky notes with the CAQDAS software, NVivo for analysis, and the associated implications for rigor. A design researchers’ approach which is grounded in a practice which maximizes researcher data interaction in a variety of learning modalities ensures the analysis process is rigorous and productive. Reflection on the authors’ research analysis process, combined with consultation with the literature, would suggest digital analysis software packages such as NVivo do not fully scaffold the analysis process. They do, however, provide excellent data management and retrieval facilities that support analysis and write-up. This research finds that coding using traditional tools such as colored pens, paper, and sticky notes supporting data analysis combined with digital software packages such as NVivo supporting data management offer a valid and tested analysis method for grounded theory generation. Insights developed from exploring a design researchers approach may benefit researchers from other disciplines engaged in qualitative analysis.


Field Methods ◽  
2020 ◽  
Vol 32 (4) ◽  
pp. 399-415
Author(s):  
Jeffrey G. Snodgrass ◽  
Kaylin R. Clements ◽  
William Cody Nixon ◽  
Cynthia Ortega ◽  
Samantha Lauth ◽  
...  

We present a qualitative data analysis framework that integrates perspectives from theme analysis, cultural models analysis, grounded theory, and content analysis. We demonstrate how these research traditions are united in their aim to, first, uncover meaningful themes and, subsequently, to understand those themes’ relationships to each other. To illustrate our approach, we present research on video gamers’ understandings of productive and detrimental responses to failure. Initial themes, cultural models, and grounded theory analysis of 10 semi-structured interviews led us to the theory that video games help players learn to cope more productively with failure, which we confirmed in a subsequent content analysis of text extracts from an online survey ( N = 64). Overall, we propose that commonly employed approaches for analyzing qualitative data can be usefully conceptualized as research steps or stages, which move from the initial identification of themes to understanding their relationships, and from inductive exploration to deductive confirmation.


10.5153/sro.1 ◽  
1996 ◽  
Vol 1 (1) ◽  
pp. 80-91 ◽  
Author(s):  
Amanda Coffey ◽  
Holbrook Beverley ◽  
Atkinson Paul

In this paper we address a number of contemporary themes concerning the analysis of qualitative data and the ethnographic representation of social realities. A contrast is drawn. On the one hand, a diversity of representational modes and devices is currently celebrated, in response to various critiques of conventional ethnographic representation. On the other hand, the widespread influence of computer- assisted qualitative data analysis is promoting convergence on a uniform mode of data analysis and representation (often justified with reference to grounded theory). We note the ironic contrast between these two tendencies, the heterodox and the orthodox, in contemporary qualitative research. We go on to suggest that there exist alternatives that reflect both the diversity of representational approaches, and the broader possibilities of contemporary computing. We identify the technical and intellectual possibilities of hypertext software as offering just one such synthesis.


2007 ◽  
Vol 12 (2) ◽  
pp. 56 ◽  
Author(s):  
Daniel Augusto Moreira

Qualitative Data Analysis Software is not extensively used in Brazil; also, misconceptions about qualitative research are still common. This study presents the main functions of Qualitative Data Analysis Software or, more properly, CAQDAS - Computer Aided Qualitative Data Analysis Software, as it is well known in the academic world. The relationship of CAQDAS with grounded theory is stressed, and so is text coding, as the central operational issue in grounded theory. Vantages and advantages of using software packages are analyzed. However their huge potential for facilitating data storage, manipulation and retrieval, their use is not always necessary or even recommended. As the packages are not neutral concerning theory, the analyst has to decide if and when to use a computer program and, if the package is in order, which one to use. Key words: Data analysis. Computer software. Qualitative research.


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