This book is a sort of hybrid, crossing a primer on basic stats with an SPSS manual. Having already had a basic introduction to research stats, I would have preferred it if the book would have dispensed with the basic stats and provided more depth and more examples in SPSS, including factor analyses and more information on general linear model calculations. That said, if you're looking for an introduction to or a refresher on research statistics including research design, validity, reliability and generalizability plus some guidance on applying this information to SPSS, this would a good choice.
The general information on statistics is nothing groundbreaking, but it is described in an informal, almost conversational tone with plenty of examples from education research. The book's strength is showing you exactly how to run each test in SPSS, including screen shots. Another plus is the guidance in interpreting SPSS output. In my experience, one of the biggest challenges in interpreting results with SPSS is that more information than you need is provided. The screen shots used in this book help to clarify by circling relevant information and discussing why it is relevant. Those who are more advanced in their understanding of statistics may find this annoying, though, because the author tends to dismiss output as "not important", when it does have an underlying purpose.
The book does lose a few points for the numerous spelling errors the editor let get through (a typical example is in the Table of contents : "Want is ANOVA?").
If you're looking for more in-depth information on research statistics that's also understandable to novices as well as those with additional experience (but no SPSS), I HIGHLY recommend "Your Statistical Consultant" by Newton & Rudestam. For SPSS, I haven't used it myself, but I have had Norusis' "SPSS Guide to Data Analysis" recommended to me by both professors and grad students.