A short guide to applied mixed methods research
About this book
This short book is for people doing applied research in technology, marketing, health care, financial services, communications, or product strategy. It is for anyone who has gaps in their methods training. If you skipped those classes, or simply learned methods without the reasons for choosing a specific one, you will get value from this book. The book will show you how to effectively mix methods and data sets, and how to help stakeholders become more sophisticated customers of good research.
Table of Contents
Introduction: Understanding The Qual/Quant Divide
A Mixed Methods Example: Stories as a Network
What Are Mixed Methods? Mixing Objectivism and Constructivism
- A constructivist view of technology
- How the qual/quant divide plays out
- Abandoning the scientific method: the creative encounter
- Mitigating the weaknesses of qual and quant research
Why mix methods?
Ways to mix methods
How to mix methods, step by step
- Project kick-off and framing
- Developing shared understanding about research needs and resource constraints
- Framing your approach: inductive or deductive frame?
- Social Infrastructure: preparing teams for mixed methods
- Research design
- Priority or dominance
- Data collection: simultaneous or sequential
- Sequential designs
- Simultaneous designs
- Clarifying concepts or variables
- Data analysis and interpretation: mixing Induction and Deduction
- Can analysis and interpretation be a team sport?
- During reporting
New Horizons for Mixed Methods Research
Conclusion: To Mix or Not to Mix?
Buy the Book
The Kindle version of this book is available now on Amazon.com. The print version is coming soon