Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods

What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data—whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis.
What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data—whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily “flip and find” answers to specific questions. Nontechnical discussions of cutting-edge approaches—illustrated with real-world examples—emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results.

Publications, Free Full-Text

The Best 10 Qualitative Data Analysis Software Platforms in 2023

Qualitative vs. Quantitative vs. Mixed Methods in UX Research

Research Design: Qualitative, Quantitative, and Mixed Methods Approaches by John W. Creswell

Advanced Methods in Delivery System Research - Planning, Executing, Analyzing, and Reporting Research on Delivery System Improvement

Qualitative vs. quantitative research and how to combine them

Quantitative vs Qualitative Data: What's the Difference?

Quantitative methods for climate change and mental health research: current trends and future directions - The Lancet Planetary Health

A mixed-methods systematic review of patients' experience of being invited to participate in surgical randomised controlled trials - ScienceDirect

Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)