Grounded theory is a qualitative research method that develops new theories from an a qualitative dataset. Unlike many other qualitative approaches that begin with a predefined framework or focus on describing lived experiences, grounded theory aims to generate an explanatory model that accounts for patterns of behavior, meaning, or interaction observed in the field. The resulting theory is said to be “grounded” in the data itself, rather than imposed from outside.
Grounded theory differs from most qualitative research methods in its emphasis on theory generation rather than description or interpretation alone. While approaches like ethnography and phenomenology seek to understand specific cultural practices or individual experiences, grounded theory builds generalizable explanations rooted in real-world data.
Grounded theory is especially useful when existing theories do not adequately explain a process or social phenomenon. Researchers collect data—often through interviews, observations, or documents—and analyze it using systematic coding procedures. These include open coding (identifying key concepts), axial coding (linking concepts into categories), and selective coding (integrating categories into a coherent theory). Data collection and analysis often happen simultaneously, with new data helping to refine and expand the emerging theory.
A grounded theory study might examine how first-generation college students navigate academic and cultural barriers. As researchers interview students and review their stories, they might begin to identify recurring strategies for coping, sources of support, and turning points in students’ experiences. Through iterative coding and comparison, these findings evolve into a theoretical framework that explains how such students persist and adapt within higher education settings.
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