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.
Explore, engage, empower: methodological insights into a transformative mixed methods study tackling the COVID-19 lockdown
Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
Using mixed methods to strengthen process and impact evaluation
Qualitative vs. Quantitative Data: What's the Difference?
Guide to Quantitative & Qualitative UX Research Methods
Importance of mixed-methods approaches in development research and evaluation
Are surveys qualitative or quantitative research? - Voxco
Using Joint Display as an Analytic Process: An Illustration Using Bar Graphs Joint Displays From a Mixed Methods Study of How Beliefs Shape Secondary School Teachers' Use of Technology - Tashane K.
A summary of quantitative, qualitative and mixed method approaches
Quantitative methods for climate change and mental health research: current trends and future directions - The Lancet Planetary Health
The Best 10 Qualitative Data Analysis Software Platforms in 2023
Steps to Plan Your Data Collection
Qualitative vs. Quantitative Research ~ Types of Studies
The Difference Between Qualitative & Quantitative Measurement - Video & Lesson Transcript
