Journal article
A Mixed Methods-Grounded Theory Design for Producing More Refined Theoretical Models
Journal of mixed methods research, v 15(1)
01 Jan 2021
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Current literature lacks explication of how traditional grounded theory and mixed methods-grounded theory (MM-GT) are similar/different and specific explication of how to construct MM-GT designs-our purpose is to do this. We illustrate the design process using a published study. Exploratory Phase 1 involves creation of a formative-theoretical model based on multiple implicit or explicit models identified in the literature, which are then combined into a single model using metamodeling integration. Also, in Phase 1, a traditional grounded theory is developed "independently" using interview data. These two models are integrated into a combined/metamodel at the end of Phase 1. Confirmatory Phase 2 involves testing of the final Phase 1 metamodel using a mixed methods experiment. In Phase 3, the Phase 1 and Phase 2 results are integrated, producing the "final" metamodel. This article contributes to the field of mixed methods research by showing how to design an MM-GT study that is focused on theory development and testing.
Metrics
Details
- Title
- A Mixed Methods-Grounded Theory Design for Producing More Refined Theoretical Models
- Creators
- Minjung Shim - Drexel UniversityBurke Johnson - University of South AlabamaJoke Bradt - Drexel UniversitySusan Gasson - Drexel University
- Publication Details
- Journal of mixed methods research, v 15(1)
- Publisher
- Sage
- Number of pages
- 26
- Grant note
- Ki-een Kim Dance and Culture Foundation Marian Chace Foundation Rowan University School of Osteopathic Medicine
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Creative Arts Therapies; [Retired Faculty]
- Web of Science ID
- WOS:000539348400001
- Scopus ID
- 2-s2.0-85086232058
- Other Identifier
- 991019167855204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Social Sciences, Interdisciplinary