Doctoral researcher analysing interview transcripts with coding notes while a whiteboard behind shows arrows linking concepts to illustrate a grounded theory model.

Grounded Theory Methodology Explained: A Complete Guide for Students and Researchers



This guide explains grounded theory methodology in clear, practical terms for university students. Learn its philosophical foundations, coding stages, data coll...

qualitative research methods grounded theory methodology explained
Nina Ellsworth
Nina Ellsworth
Nov 10, 2025 0 min read 1 views

Grounded theory methodology explained clearly and practically is essential for students conducting qualitative research. Grounded theory is not simply a data analysis technique; it is a full research methodology designed to generate theory directly from empirical data. Unlike approaches that begin with a fixed hypothesis, grounded theory starts with systematic data collection and allows theoretical insights to emerge through iterative analysis.

Many postgraduate students choose grounded theory for dissertations because it provides a structured yet flexible framework for exploring complex social processes. However, confusion often arises about its philosophical assumptions, coding procedures, and reporting standards. This guide explains grounded theory methodology step by step, clarifying how it differs from other qualitative approaches and how to apply it rigorously in academic research.

What Is Grounded Theory Methodology?

Grounded theory is a qualitative research methodology originally developed by Barney Glaser and Anselm Strauss in 1967. Its core purpose is to generate theory that is “grounded” in systematically gathered and analysed data. Instead of testing existing theories, researchers develop conceptual explanations directly from participants’ experiences.

This approach is particularly useful when studying social processes, behaviours, or interactions that lack sufficient theoretical explanation. Grounded theory does not begin with a predetermined framework. Instead, it relies on continuous comparison between data and emerging concepts.

Grounded theory seeks to build theory from data, not fit data into pre-existing theory.

Philosophical Foundations of Grounded Theory

Grounded theory is commonly associated with symbolic interactionism, which emphasises how individuals create meaning through social interaction. However, different versions of grounded theory reflect different epistemological positions.

Three main traditions exist:

Table 1: Major Grounded Theory Traditions
Approach Key Scholars Epistemological Position
Classic Grounded Theory Glaser Post-positivist
Straussian Grounded Theory Strauss & Corbin Interpretivist
Constructivist Grounded Theory Charmaz Constructivist

Understanding which tradition you follow is important because it shapes how you approach data collection, coding, and theoretical development.

Core Principles of Grounded Theory Research

Several foundational principles distinguish grounded theory from other qualitative methodologies.

  • Theoretical sampling – Data collection guided by emerging theory.
  • Constant comparative method – Continuous comparison of data with codes and categories.
  • Iterative analysis – Data collection and analysis occur simultaneously.
  • Theoretical saturation – Data collection stops when no new conceptual insights emerge.

These principles ensure that theory development remains systematic and grounded in empirical evidence.

Step-by-Step Process in Grounded Theory Methodology

Although grounded theory is flexible, it follows a structured analytical progression.

Step 1: Initial Data Collection

Researchers typically begin with open-ended interviews, observations, or document analysis. The aim is to collect rich, detailed data without imposing rigid theoretical assumptions. Early research questions are broad and exploratory.

Step 2: Open Coding

Open coding involves breaking down data into discrete parts and identifying meaningful units. Each segment of text is labelled with a code that captures its core meaning.

For example, if participants discuss workplace stress, codes might include “role conflict,” “time pressure,” or “lack of support.” These codes remain close to the data at this stage.

Step 3: Axial Coding

Axial coding connects related codes into categories and subcategories. Researchers examine relationships between concepts and begin organising them into broader explanatory structures.

For instance, codes such as “time pressure” and “work overload” might form a category called “Organisational Stressors.”

Step 4: Selective Coding

Selective coding integrates categories around a central core category. This core category represents the primary explanatory concept emerging from the data.

The goal is to build a coherent theoretical framework that explains the studied phenomenon systematically.

Table 2: Coding Stages in Grounded Theory
Stage Purpose Outcome
Open Coding Identify concepts Initial codes
Axial Coding Link concepts Categories
Selective Coding Integrate theory Core theoretical model

The Role of Theoretical Sampling

One of the defining features of grounded theory methodology explained properly is theoretical sampling. Unlike traditional sampling, participants are selected based on emerging theoretical needs rather than predefined demographic criteria.

For example, if early analysis suggests that leadership style influences employee resilience, the researcher may intentionally recruit participants with diverse leadership experiences to explore this emerging concept further.

Data collection in grounded theory is driven by theory development, not by statistical representativeness.

The Constant Comparative Method

The constant comparative method ensures analytical rigour. Each piece of data is compared with previous data to refine categories and identify patterns. Codes are continuously revised, merged, or expanded.

This iterative process strengthens conceptual clarity and prevents superficial interpretation. It also enhances transparency, as researchers can document how categories evolved.

When to Use Grounded Theory

Grounded theory is particularly appropriate when:

  • The research topic lacks established theoretical explanation.
  • The aim is to explore processes or social interactions.
  • The researcher seeks to generate new theory rather than test existing hypotheses.

It is less suitable when the study aims to confirm predetermined theoretical frameworks.

Common Mistakes in Grounded Theory Research

One frequent error is entering the study with rigid theoretical assumptions. While reviewing literature is important, grounded theory requires openness to emergent concepts.

Another mistake is treating coding as purely descriptive. Grounded theory demands conceptual abstraction and theoretical integration, not merely categorising responses.

Finally, some students misunderstand theoretical saturation, assuming it means collecting as much data as possible. Saturation occurs when additional data no longer contribute new conceptual insights.

How to Present Grounded Theory in a Dissertation

When writing your methodology chapter, clearly justify your choice of grounded theory and specify which tradition you follow. Describe your data collection procedures, coding stages, and how theoretical sampling was conducted.

In the findings chapter, present categories and the core theoretical model systematically. Explain relationships between categories and support interpretations with participant quotations.

Clarity, transparency, and methodological coherence are essential for academic credibility.

Grounded Theory Methodology Explained for Academic Success

Understanding grounded theory methodology explained thoroughly allows students to conduct rigorous qualitative research that contributes original theoretical insights. Its systematic coding procedures, emphasis on constant comparison, and iterative data collection make it one of the most structured qualitative methodologies available.

When applied carefully, grounded theory moves beyond description and produces explanatory frameworks rooted in empirical data. By maintaining openness, documenting analytical decisions, and linking emerging theory clearly to evidence, researchers can produce high-quality, defensible academic work suitable for advanced university research.

Author
Nina Ellsworth

You may also like

Comments
(Integrate Disqus or a custom comments component here.)