An Introduction to Data Analysis

Quantitative, Qualitative and Mixed Methods

Tiffany Bergin author

Format:Paperback

Publisher:Sage Publications Ltd

Published:10th Nov '18

Should be back in stock very soon

This paperback is available in another edition too:

An Introduction to Data Analysis cover

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.

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
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 * drupal *
A helpful introduction to data analysis that will get students started with the process. -- Dr Ivan Gee * drupal *
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 * drupal *
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 * drupal *
Moved to a new university. Will consider adoption on courses there as the content was relevant and accessible. -- Dr Seren Roberts * drupal *
Useful for students in research methods and dissertation modules -- Miss Rachel Sullivan * drupal *
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 * drupal *
I really like this book. The quantitative section is especially useful, with the introduction of both real world, and well crafted fictional, data samples utilised well within the various statistical tests demonstrated. The level of complexity is just right, not too easy or straightforward to lessen understanding but not too difficult that it makes the reader put the book down and look elsewhere for data analysis support . The supporting assumptions provided after the examples are very helpful. Decision already made, I have referred the book to the university library for purchase. -- Mr David Dowdle * drupal *
Great book added to multiple research based modules across ICT programmes. -- Mr David Williams * drupal *
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 * drupal *
This is a very good resource -- Mrs Josephine D Morris * drupal *
This is a very good resource for students and teaching -- Mrs Josephine D Morris * drupal *
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 * drupal *
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 * drup

ISBN: 9781446295151

Dimensions: unknown

Weight: 480g

296 pages