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Related Experiment Video

Updated: Jun 18, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

Evolving Grounded Theory Methodology: towards a discursive approach.

May McCreaddie¹, Sheila Payne

¹Nursing and Midwifery, University of Stirling, FK9 4LA, United Kingdom. may.mccreaddie@stir.ac.uk

International Journal of Nursing Studies

|December 8, 2009

Summary

This summary is machine-generated.

This study introduces Discursive Grounded Theory Methodology (DGTM), integrating Discursive Psychology with Grounded Theory to analyze healthcare interactions. DGTM offers a novel approach to understanding symbolic interaction through naturally occurring language data.

Related Experiment Videos

Last Updated: Jun 18, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

Area of Science:

Qualitative Research Methods
Social Sciences
Healthcare Communication

Background:

Grounded Theory Methodology (GTM) focuses on interaction and processes, rooted in symbolic interaction.
Discursive Psychology, also based on symbolic interaction, is a language-based approach primarily used in social sciences.
The study explores the relevance of Discursive Psychology for evolving GTM.

Observation:

Methodological challenges arose from studying spontaneous humor in Clinical Nurse Specialist-patient interactions.
Discursive Grounded Theory Methodology (DGTM) was developed to address these challenges.
The study utilized spontaneous humor in healthcare interactions as a phenomenon to illustrate DGTM.

Findings:

DGTM integrates Discursive Psychology principles into GTM.
The research outlines the DGTM approach and presents study results.
Naturally occurring data, alongside researcher-elicited data, offers unique insights.

Implications:

DGTM provides a framework for analyzing specific phenomena, particularly language in social interactions.
This approach enhances the understanding of the symbolic interaction tenet of language.
The study highlights the value of naturally occurring data in qualitative research.