`I learnt a lot from this book, which is very clear and carefully explains a wide range of multivariate techniques, basing them all on a consistent explanatory framework. It will be invaluable for social scientists wanting to progress beyond an introductory level of statistics' - Nigel Gilbert, University of Surrey
"The book combines a sound and clear exposition of GLMs with a wealth of practical tips. Even for those already familiar with most of the techniques covered it would be an excellent refresher course."
I find the book quite good. It describes a series of analytical approaches in a clear way. In principle the book is very suited for self-study by students, as most of the book is easy to follow and explains the analyses step by step.
Interesting but the approach was a bit challenging.
Very fine book, we have chosen it as the textbook for the course.
The book is a bit too mathematical for social sciences students who are weak in statistics, but useful for those who have solid backgrounds in mathematics and want to learn more
A very good overview of multivariate modelling techniques and associated issues.
Some explanations could be more explicit e.g. in multiple logistic regression how to interpret a TWO unit increase or a TEN unit increase or a ONE HUNDRED unit increase in variable x1, since this often causes concern and misunderstanding.
Also, the SPSS menu prompts should be replaced with SPSS syntax, since SPSS syntax is more likely to be used at the level which this book is aimed at. And the SPSS menu prompts are more likely to change from one version of the software to the next.
This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.