An Introduction to Data Analysis
Quantitative, Qualitative and Mixed Methods
- Tiffany Bergin - New York Criminal Justice Agency
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.
Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media.
It includes advice on:
- Data analysis frameworks
- Validity and credibility of data
- Sampling techniques
- Data management
- The big data phenomenon
- Data visualisation
- Effective data communication
Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
This text offers a good introduction to working with data, and data analysis. Giving good examples in a structured way, it will give students working on dissertations/doctorates helpful insights into the issues to consider and the processes to follow.
A helpful introduction to data analysis that will get students started with the process.
A good publication to introduce students to a qualitative, quantitative and mixed methods approach and analysis of data to their research projects. Additionally providing clear explanations of research analysis. A recommended source for the BA students studying their dissertation module.
Useful for students in research methods and dissertation modules
