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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.
Getting pre-registration nursing students to understand statistics is a challenge - for the ones who get it and want to understand more, this is a book that I will recommend for ease of reading and presentation. However, for some students it would still be too complex.
I am going to recommend this book for reading, especially to students without much previous knowlegde in statistics.
Clear and actually _readable_ (not wholly expected in a stats text book!) Some excellent examples and exercises - clear, amusing and with good explanations. An excellent text for a basic research methods course.
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)
Whilst this is a useful book for the introduction of statistics it is missing the application of the statistical computer packages which most researchers will be using to analyse their data.
This book is a really nice introduction to statistics that is very student friendly, with great exercises.
Very useful introduction to statistics for students. A good place to start.
This text provides the basics for social scientists to compile and use statistics for highlighting issues in numerical terms.
Very thorough and easily understandable introduction into the topic, hence a great additional source for students to acquire the necessary knowledge to understand statistics. Because it has a higher practical orientation, it is better suited as recommended reading in contras to the more theoretical primary literature.
This is an excellent tool for first year undergraduates. The examples are very well thought through. Excellent book for beginners with substance in it!
This would be an essential reading for students' induction into an MSc with advanced quantitative methods
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