Grounded Theory

Build theory directly from your data with grounded theory coding and analysis.

9 articles

Practical Guide to Grounded Theory Research — Delve

Practical Guide to Grounded Theory Research

Learn how to do grounded theory, a popular qualitative research methodology where data collection and analysis happen together in cycles.

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What is Constructivist Grounded Theory?

Constructivist grounded theory is a research method that focuses on generating theories for complex social processes. Read to learn more.

Axial coding in qualitative research with Delve

How To Do Axial Coding with Examples

Axial coding is a crucial step in qualitative analysis that organizes initial codes into meaningful categories, revealing deeper insights in your data.

Illustration comparing grounded theory and thematic analysis in qualitative research

Grounded Theory vs. Thematic Analysis: What's the Difference?

Grounded theory and thematic analysis are two popular qualitative research methods. This article explores the strengths, differences and uses cases of these two methods.

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What is Theoretical Saturation?

Theoretical saturation is the point in grounded theory analysis where collecting and analyzing additional data does not teach you more about your topic. Learn more about theoretical saturation.

What is Constant Comparative Method?

What is Constant Comparative Method?

Learn about the fundamentals of constant comparative method and how researchers can use it to collect and analyze data when using grounded theory methods.

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The History of Grounded Theory

Grounded theory was first mentioned in the 1965 work of Glaser & Strauss. Learn more about the history of grounded and how the three versions evolved.

Researcher writing analytical memos

Analytical Memos

Analytical memos are brief write-ups of the researcher's thoughts and ideas about the research data. Read on to learn more about analytical memos.

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When to Use Theoretical Sampling

Theoretical sampling in grounded theory, as defined by Glaser and Strauss (1967) is a way of collecting data, and deciding what data to collect based on the theory and categories that emerge from your data. Read our guide on theoretical sampling.

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