
Excellent book - This has everything you need to get your head round research methods. One tiny criticism - it good do with a bit of colour to cheer the pages up.
A very good introductory textbook - As a first year psychology student I found this an invaluable resource to simplify understanding of statistical tests and methods which other textbooks over-complicated, and generally did not explain very well.Ironically, it simplifies more complex material rather nicely but misses out some key points on some of the simpler statistical analyses, such as measures of central tendency.The most useful part of the textbook is telling users how to perform the tests and analyses talked about in the book into SPSS, which will aid any psychology student no end.
Very pleased - This book just arrived and it is as good as other reviews say. I ve dreaded this assignment, but the book has changed my mind. Extremely accessible and fun, takes the dread away.
Research methods and statistics in psychology - When this arrived I was lost on my first psychology report, the easy to follow instructions helped me through. I will continue to let it guide me and recommend it to all other psychology students.
Extensive, but a little annoying at times - This is a pretty good introduction to statistics, especially for complete beginners. I had to buy it for a course, and at first wasn t too impressed with it, primarily because of the writing style. The author keeps the tone very light and says many jokes and funny things, which never bothered me. What did irritate me was that he also has a tendency to really dumb-down everything, to the point where you feel like it has been written for younger students, rather than university students (which I gather it sort of was). However, I figured out after working my way through the course that the text is actually pretty good: it covers several statistical tests that other texts skip. Tests detailed include: binomial sign test, Chi-square, Wilcoxon matched pairs signed ranks, Mann-Whitney U, Wilcoxon rank sum, t test, Pearson s correlation, Spearman s rho, regression (including multiple), Kruskal-Wallis, Jonkheere trend, Friedman, Page trend, ANOVA (one-way, two-way, more-than-two-way, unrelated and related), MANOVA, ANCOVA. It also covers the design of experiments in detail. And the author really does make an effort to explain everything fully, for readers who have neither a statistical background nor even a strong maths background. It serves as a really good reference, even if reading it is a bit painful.In short, I doubt this is the best statistics book out there, but it is the best statistics reference book I ve seen yet. So I would recommend it if you are starting from scratch. But if you are comfortable with maths or even basic statistics, I wouldn t bother this book, as I m sure you ll find it as irritating to read as I did.