Selecting the Right Analyses for Your Data: Quantitative
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.
Quantitative vs Qualitative Data: What's the Difference?
Quantitative vs Qualitative Data: What's the Difference?
Qualitative vs. Quantitative Analysis (Exclusive Infographic)
What is Data Analysis: The Essential Guide
How to Analyze Survey Results Like a Data Pro
15 Reasons to Choose Quantitative over Qualitative Research
Need for quantitative data analysis in research and analytical tools used for quantitative research – Statswork
Mixed Methods Research - Harvard Catalyst
An Overview of the Pugh Matrix: What Is It and How Does It Work? - LeanScape
Top 9 Types of Charts in Data Visualization
What Are The Characteristics Of Quantitative Research? Characteristics Of Quantitative Research In A Nutshell - FourWeekMBA
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