A Reflection of Adopting Paillé’s Data Analysis in Constructivist Grounded Theory Research

Dr. Muhammad Arsyad Subu

A Reflection of Adopting Paillé’s Data Analysis in Constructivist Grounded Theory Research



Abstract

Background: The roots of grounded theory are in Chicago sociology, symbolic interactionism, and pragmatist philosophy. Constructivist grounded theory is a popular method for research studies primarily in the disciplines of psychology, education, and nursing. This paper is to convey the experience of adopting Paillé’s (1994) as data analysis strategy in doing Constructivist Grounded Theory (CGT) research. Method: The steps of Paillé grounded theory data analysis was used to manage, organize, and analyze data. It mirrors Charmaz’s (2006) method of data analysis by adapting the basic principles of constructivist grounded theory and displaying the data analysis in a sequential form: codification, categorization, linking categories, integration, conceptualization, and theorization. Results: Adopting Paillé’s strategy of data analysis in CGT created an understanding mental health and stigmatization among people with mental illness in Indonesia. A number of significant statements and sub-categories were integrated to formulate the five categories which describe experience of mental illness and stigmatization. Conclusion: The use of Paillé’s strategy in constructivist grounded theory was successful in this grounded theory research. Although Paillé’s data analysis steps are presented as separate entities, the researcher must not view them as mutually exclusive, nor assume that the progression between each step is linear. It is a system process of analysis. During data analysis process, Paillé’s method of data analysis was very useful to organize data in a sequential manner.

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