What is the process of coding and clustering data in the grounded-theory method known as?

The process of coding and clustering data in the grounded-theory method is referred to as the constant-comparative method. This technique involves systematically comparing data segments with each other as they are collected and analyzed. It allows researchers to identify themes, categories, and patterns that emerge across different pieces of data, thus facilitating the development of a grounded theory.

This method enables iterative analysis, where each new data point is compared to previous data, which can highlight similarities and differences that contribute to a richer understanding of the phenomenon being studied. Constant comparison helps in refining categories and ensuring that they are grounded in the data itself, supporting the eventual emergence of a coherent theoretical framework based on the gathered information.

The other options refer to different methods or concepts within qualitative research. Theoretical sampling relates to the process of collecting data in order to generate theory, whereas data triangulation involves using multiple data sources to enhance the robustness of findings. Phenomenological analysis focuses on understanding lived experiences from the perspectives of individuals, which is distinct from the coding and clustering focus inherent in grounded theory methodology.