Classic grounded theory

Definition

Classic grounded theory is a qualitative research methodology that aims to generate theory from data systematically gathered and analyzed. It emphasizes the collection of data through various means, such as interviews and observations, allowing researchers to discover patterns and concepts that emerge from the data itself, rather than testing pre-existing theories.

5 Must Know Facts For Your Next Test

1. Classic grounded theory was developed by Barney Glaser and Anselm Strauss in the 1960s as a method for developing theories grounded in empirical data.
2. The methodology allows for flexibility in research design, adapting as new findings emerge throughout the study.
3. Researchers using classic grounded theory focus on the constant comparative method, where they continually compare new data with existing categories to refine concepts.
4. It encourages inductive reasoning, allowing theories to emerge naturally from data rather than being imposed by the researcher beforehand.
5. Classic grounded theory can be applied across various disciplines, including sociology, psychology, and health studies, making it a versatile approach for qualitative research.

Review Questions

• How does classic grounded theory differ from other qualitative research methodologies in its approach to theory development?
  • Classic grounded theory differs from other qualitative methodologies primarily in its focus on generating theory directly from data rather than testing existing theories. Researchers systematically gather and analyze data to identify patterns and concepts that emerge organically. This inductive approach allows for a more authentic representation of participants' experiences and perspectives, which can lead to richer, more nuanced theories that reflect real-world complexities.
• Discuss the role of theoretical sampling in classic grounded theory and how it impacts the research process.
  • Theoretical sampling plays a critical role in classic grounded theory by guiding researchers in selecting participants who can best inform the emerging theory. Unlike random sampling methods, this approach focuses on participants who offer diverse perspectives relevant to the concepts being developed. As researchers collect and analyze data, they adjust their sampling strategy to include individuals who provide deeper insights, ensuring that the resulting theory is robust and well-supported by empirical evidence.
• Evaluate the significance of open coding in classic grounded theory and its influence on data analysis outcomes.
  • Open coding is significant in classic grounded theory as it sets the foundation for identifying key themes and concepts within qualitative data. By breaking down data into manageable parts and categorizing them, researchers can discern patterns that may not have been apparent initially. This step influences subsequent phases of analysis by shaping how researchers interpret findings and build categories, ultimately guiding the development of a grounded theory that accurately reflects participants' realities.

Related terms

Data Saturation: The point in qualitative research when no new information or themes are emerging from data collection, indicating that further data gathering may not yield additional insights.

Theoretical Sampling: A process in grounded theory where researchers select participants based on their potential to contribute to the development of the emerging theory, rather than randomly sampling the population.

Open Coding: The initial phase of coding in grounded theory where researchers break down qualitative data into discrete parts to identify and categorize concepts and themes.