Adaptive Case Study-Mixed Methods Design Practices for Researchers Studying Complex Phenomena

Author:

Poth Cheryl N.1ORCID,Wongvorachan Tarid1ORCID,Bulut Okan1ORCID,Otto Simon J. G.2ORCID

Affiliation:

1. CRAME (Centre for Applied Measurement and Evaluation), University of Alberta, Edmonton, AB, Canada

2. HEAT-AMR (Human-Environment-Animal Transdisciplinary Antimicrobial Resistance Research Group), School of Public Health, University of Alberta, Edmonton, AB, Canada

Abstract

The methodological purpose of this article is to generate practical guidance for researchers studying complex phenomena through an adaptive case study-mixed methods (CS-MM) design. We describe CS-MM design adjustments made in response to our rapidly changeable research conditions that make complex phenomena challenging to study. We leverage Guetterman & Fetters’ (2018) CS-MM design recommendations while discussing specific adaptive design practice areas and advancing new insights gleaned from an expanded 21-month timeline when compared with a previous 4-month CS-MM study. We draw upon Mike Fetters’ extensive scholarly contributions while striving to continue his legacy for a better world and embodying Mike’s “kind mentoring” approach in our team-based study of the complex phenomena involving the response to a public health emergency.

Funder

Support for the Advancement of Scholarship Program.

Publisher

SAGE Publications

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. In This Issue: Special Issue Dedicated to Michael D. Fetters;Journal of Mixed Methods Research;2024-07

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