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 is a really comprehensive book, which covers the key aspects of data analysis that my doctoral students will encounter. It is clearly presented, and the style of writing makes it easily accessible for the students, no matter how far along their studies they are. The inclusion of various examples, checks and activities, has made it very useful in the teaching of such core skills, too.
The book provides a synthesis of ideas on how qualitative data analysis provides a veritable tool to research development in geography. It provides an easy-to-dispense materials for teaching.
My course includes the teaching of both quantitative and qualitative research methodology. The text is clear and comprehensible for the students of the course of study. So I recommend it to my students to deepen the concepts of research methodology.
Great book added to multiple research based modules across ICT programmes.
This book is useful for all nurses undertaking their research module but also provides excellent data for other courses such as behaviourism courses around data collection and analysis.
A particularly valuable resource for understanding methodologies. It provides a comprehensive and straightforward reference book that clearly explains data analysis. 'Lets try this' and 'stop and think', provide the opportunity to reflect on learning and also help to demystify a complex topic for both my new and experienced academic learners. In study skills, its format makes it easy for staff to explain some of the more difficult to grasp elements of research analysis, and enables delivery of concise resources to learners in HE.
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
