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An Introduction to Data Analysis
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An Introduction to Data Analysis
Quantitative, Qualitative and Mixed Methods



October 2018 | 296 pages | SAGE Publications Ltd

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.

 
Chapter 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

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.

Miss Tracey Canham
Health Care and Early Years, Swindon College
September 8, 2018

Useful for students in research methods and dissertation modules

Miss Rachel Sullivan
Department of Sport & Exercise Science, Gloucestershire University
June 6, 2018
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