Beginning Statistics
An Introduction for Social Scientists
- Liam Foster - Sheffield University, UK
- Ian Diamond - UK National Statistician
- Julie Banton - Freelance Academic
Chapters address the following questions:
- Why bother learning statistics in the first place and are they relevant to real life?
- How do I make sensible tables and informative graphs?
- What are descriptive and inferential statistics and how are they used?
- What are regression and correlation anyway?
This is an excellent book, covering the basics of statistics in an interesting and easy to understand way. Great for a (gentle) first course in statistics for social scientists.
A very nicely structured and accessible introduction that can serve as an excellent resource for teaching research methods at Undergraduate level and beyond.
This is a useful book but presents the statistics in a rather traditional way for the largely non-mathematical (or phobic) social science students I teach. The section on non-parametric tests is disappointingly small, given the frequency with which non-parametric data occurs in social science projects. It is useful as supplementary reading and I will include it on the reading list.
This is an excellent book for undergraduate and postgraduate students who are learning to use SPSS. The examples are simple and easy to follow. Will definitely recommend all my students to use this book
This book is intended for those MA Education students who are embarking on statistical analysis for the first time and i believe it will become their 'bible'. It seems to be accessible and cover all that will be required.
This book contains all the essential information that is needed to understand this course. Furthermore, the lectures will be linked to this book. In addition, much of the information will be linked to the final exam.
Clear and at the right level
The book provides an excellent introduction to the concepts of statistical inference and data analysis, especially for those students who had no training in statistics. One of the appendices provides also a reminder of basic mathematics. Second edition is well-written, with updated examples and added chapter on categorical data analysis.
A good book for supplemental reading and apposite for psychology students.
I requested this book for a course in empirical methodologies that I have run for a few years. It now turned out it's my colleague who is going to run it next time but I have suggested him to let this book replace the one we have been using until now for several reasons
- The chapters follow a structure that goes well along with the way students acquire and start to work with data from a practical perspective (Our course includes an empirical project)
- The book stays within the range of statistical tools that we can reasonably get the students to understand at a beginners' course so we wont have to skip any chapters
- There is more explanation and less calculations which makes it more approachable for beginners.
