Hardback : $260.00
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.
Show moreCovering 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.
Show moreChapter 1: Introducing Data
Chapter 2: Thinking like a Data Analyst
Chapter 3: Finding, Collecting, and Organizing Data
Chapter 4: Introducing Quantitative Data Analysis
Chapter 5: Applying Quantitative Data Analysis: Correlations,
T-Tests, and Chi-Square Tests
Chapter 6: Introducing Qualitative Data Analysis
Chapter 7: Applying Qualitative Data Analysis
Chapter 8: Introducing Mixed Methods: How to Synthesize
Quantitative and Qualitative Data Analysis Techniques
Chapter 9: Communicating Findings and Visualizing Data
Chapter 10: Conclusion: Becoming a Data Analyst
Bergin’s book has a clear and straight-forward structure covering
the key points and issues required to engage in qualitative,
quantitative or mixed methods research. This is an accessible
introduction for undergraduates encountering research methods for
the first time.
*Anna Robb*
Tiffany Bergin is clearly an experienced and effective teacher,
reminiscent of the late Cathie Marsh (both authors taught research
methods at Cambridge). This book is informed by professional
experience outside academia and is recommended as required reading
in research methods (quantitative, qualitative, and mixed) for
courses in sociology, social policy and related areas. It can
serve either as a course text or as a self-teaching aid.
Well organised and easy to use, written in a no-nonsense style,
addressing the reader throughout as "you" with emphasis on learning
by doing hands-on with real data, it is full of sound practical
advice and stresses the importance of organising your work and
especially on communicating your findings.
*John F Hall*
 |
Ask a Question About this Product More... |
|
