Constant Comparative Analysis in Grounded Theory

Constant comparative analysis is an iterative analytical process connecting all aspects of a research project. Primarily associated with grounded theory, constant comparative analysis is part of the concurrent data collection and analysis method, and commences with the first instance of data gathering. Data are initially compared within a single data set before comparing new data with existing data. Codes are compared with codes, and gradually grouped into categories of similar and related codes.

Constant comparative analysis is superficially similar to the iterative nature of thematic analysis, a method that tends to be more structured in its approach to coding and theme development, focusing on identifying and interpreting patterns and meanings in the data. However, the emphasis on continuous comparison and refinement of categories and concepts facilitated by constant comparative analysis, undertaken with the intention of developing a fully integrated theory or model, results in a higher level of abstraction than other forms of data analysis.

Constant comparative analysis aims to facilitate the development and refinement of concepts and categories grounded in the data. Using a combination of inductive and abductive analysis the researcher engages in ongoing acts of decision-making, and is encouraged to challenge and refine their theory. It is the combined use of inductive and abductive processes which are believe to account for the conceptual leaps achieved through constant comparative analysis. While seeking to ensure the complexity of the data are represented, successively more abstract conceptualisations of the data are created. In constant comparative analysis, patterns are recognised and extrapolated from the detailed description of individual cases to a generalised and abstracted conceptualisation of a phenomenon.

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References

Birks M and Mills J. (2023) Grounded theory: a practical guide, London: SAGE Publications Ltd.

Braun V and Clarke V. (2013) Successful qualitative research: a practical guide for beginners, London: Sage.

Bryant A and Charmaz K. (2007) The SAGE handbook of grounded theory, London: SAGE Publications Ltd.

Charmaz K. (2014) Constructing grounded theory, London: Sage.

Glaser BG and Strauss AL. (1967) The discovery of grounded theory: strategies for qualitative research, New York: Aldine.

Author: MariaJGrant

Dr Maria Grant is a recent graduate who used grounded theory in her doctoral research: Constructing an Understanding of Professional Academic Writing: The SEPIA Model.* In the absence of a shared space or obvious set of resources for early career grounded theory researchers and research students she set up The Grounded Theorist blog alongside the Twitter/X account @GroundedTheory (https://twitter.com/GroundedTheory) around which a thriving community has grown. Since graduating, Maria maintains The Grounded Theorist in her “spare time”, alongside working freelance putting her research into practice in supporting those wanting to share their professional practice through the written word. Maria was instrumental in the establishment of a cross-university writers’ group, and later a local Peer Support Writers Group, to facilitate lifelong learning around writing theory and practice. Examination of these groups correlate membership with a measurable increase in the quantitative, qualitative and diversity of the output of group members: https://www.tandfonline.com/doi/full/10.1080/13614533.2010.509481 She has published widely (http://bit.ly/RYaiB2) including a typology of reviews and associated methodologies (http://bit.ly/1dHw7ia) and as Lead Editor of the “Research, Evaluation and Audit: Key Steps in Demonstrating Your Value” (http://bit.ly/1nR0pCy). She is Editor-in-Chief of the Chartered Institute of Library and Information Professionals’ ISI listed Health Information and Libraries Journal (http://bit.ly/RYaTCF). ORCID ID: orcid.org/0000-0002-1380-2104 * Grant, M. J. (2021). Constructing an understanding of professional academic writing: The SEPIA Model. Liverpool: Liverpool John Moores University. (https://researchonline.ljmu.ac.uk/id/eprint/17967/)

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