An example of theory-decomposing on the Constant Comparative Method in Grounded Theory
On 5 main
ideas on the Constant Comparative Method in Grounded Theory and describe 2
claims of this method in terms of Toulmin's model of argument. Also suggest 2
academic references on this method in Harvard Reference format.
The Constant Comparative Method is a foundational
technique in Grounded Theory for iteratively building theory from qualitative
data.
Main Ideas
·
Ongoing Data Comparison: Researchers
continuously compare incidents within and across data sources to spot
similarities, differences, and patterns from the outset of analysis.
·
Code and Category Development: Emergent codes label
data segments, which are then clustered into higher-level categories through
repeated comparisons.
·
Iterative Refinement: Codes and categories
evolve as new data challenges or saturates existing ones, ensuring fit with the
data.
·
Integration into Theory: Comparisons culminate
in linking categories to form a cohesive theory grounded in the empirical
material.
·
Four-Stage Process: Includes comparing
incidents per category, integrating properties, delimiting the theory, and
writing it up.
Toulmin Claims
Claim 1: Rigorous Enough
for Theory Building
This method generates
substantive theories reliably from data. Data includes iterative comparisons
yielding emergent categories (grounds). The warrant is Glaser and Strauss's
procedural logic, ensuring saturation and fit, backed by its application across
social units.
Claim 2:
Inductive-Abductive Flexibility
It enables conceptual
leaps beyond data via constant refinement. Grounds are examples of
code-to-theory progression. Warrant lies in blending induction with abductive
reasoning for abstraction, with qualifiers for researcher judgment.
References
Glaser, B.G. and
Strauss, A.L. (1967) The Discovery of Grounded Theory: Strategies for Qualitative Research.
Chicago: Aldine Publishing Company.
Hallberg, L.R.M. (2006)
'The “core category” of grounded theory: Making constant comparisons', International Journal of
Qualitative Studies on Health and Well-being, 1(3), pp. 141–148.
doi:10.1080/17482620600858399.
Relevant links: on ALRA 2026.
A collection of blog notes on using chatgpt for research purpose.
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