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.

Mixed Methods Applications: Illustrations, Johns Hopkins

What is Quantitative Research? Definition, Methods, Types, and Examples

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

Difference between qualitative and quantitative research.

Mixed Methods Social Networks Research

NUS: Quantitative and Qualitative Research for Beginners

Qualitative vs. quantitative research and how to combine them

Qualitative vs. Quantitative Research ~ Types of Studies

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Mixed Methods Research

Importance of research approach in a research

A summary of quantitative, qualitative and mixed method approaches