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An Introduction to Data Analysis

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

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
Lecturer in the School of Education and Social Work, University of Dundee

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
Retired academic survey researcher

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.

Dr Philip Howlett
Faculty of Education (Chelmsford), Anglia Ruskin University
October 9, 2019

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.

Dr Olabisi Michael Olapoju
Geography, Obafemi Awolowo University
October 9, 2019

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.

Professor Gianpiero Greco
Education, Universita degli Studi di Bari
August 26, 2019

Great book added to multiple research based modules across ICT programmes.

Mr David Williams
Interdiscipline, Dublin Business School
July 9, 2019

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.

Mr Roy Johnston
Faculty of Health & Social Care, Edge Hill University
November 14, 2018

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.

Mrs wendy Carlyon
Faculty of Image and Inclusive Practice, Weston College
October 3, 2018

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.

Dr Bex Lewis
MMU Business School, Manchester Metropolitan University
September 28, 2018

A helpful introduction to data analysis that will get students started with the process.

Dr Ivan Gee
Faculty of Education, Health & Community, Liverpool John Moores University
September 28, 2018

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