Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods
Por um escritor misterioso
Descrição
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.
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.
Nursing research design
A mixed-methods systematic review of patients' experience of being invited to participate in surgical randomised controlled trials - ScienceDirect
The “mixing” in mixed methods — Eval Academy
Qualitative vs. quantitative research and how to combine them
Determining the balance of quantitative and qualitative data: The use of Mixed Methods
Meta-analysis - Wikipedia
Sage Research Methods - Mixed Methods Research: A Guide to the Field
Qualitative vs. Quantitative Data: What's the Difference? And Why They're So Valuable
Qualitative & Quantitative Research Methods - GWI
What is data analysis? Methods, techniques, types & how-to
Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods: Vogt PhD, Professor W Paul, Vogt Ma, Elaine R, Gardner PhD, Dianne C, Haeffele PhD, Lynne M: 9781462515769: Books
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