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

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Dr. Bergin has written an excellent book for students doing quantitative and qualitative data analysis as well as how to use mixed methods. It is clear and coherent, explaining the t statistic, hypothesis testing, coding in qualitative analysis, and synthesizing quantitative and qualitative analysis to do mixed methods research. The format is conducive to learning. In each chapter Dr. Bergin has "stop and think" questions to make sure the reader has grasped the key concepts. Every chapter starts with an overview, ends with a summary, offers suggestions for further reading, and finishes with discussion questions. An excellent book, extremely well-written and very useful for anyone doing research.

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This book is a good all-round introduction to data analysis. It is well written and illustrated and is comprehensive is scope, taking the reader from formulating research questions through to presenting results. What is less good, and perhaps inevitable, is that there could be more depth on many of the topics. For instance, in the chapters on quantitative anaylsis, there is no mention of confidence intervals or margins of error, which are pretty basic statistics work. Consequently, the book will not turn you into a data analyst. What it will do is give you a strong overview of the discipline to springboard into more detailed learning. It will also give those who don't work in data but rely on it to inform their decisions a good insight into how it works so they can better sort good research from bad.