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Rating: 
Summary: great spss book
Review: Green, Salkind and Akey did a great job in introducing SPSS procedures to students.The first strength of this book is its use of research scenarios, I found that most useful because sometimes students can't automatically relate some statistical techniques with the research question. The second strength is the extensive coverage of variety of topics. It covers most of the SPSS procedures, from graphing to descriptive statistics and inferential statistics. The third strength, the one that can be easily ignored, is the depth of its coverage of some advanced SPSS techniques. For example, the /lmatrix method in the 2-way ANOVA simple main effects and post-hoc contrasts situation is very advanced. Most SPSS books just use the traditional way to conduct the contrast, that is, using the omnibus sum square of error term and hand-computing the new F-value. In using /lmatrix, this process is greatly simplified and more accurate. However, this shouldn't be the only statistics book at hand when you are trying to answer your research questions. An elementary statistics book is recommended as this book is not covering the computation and rational part of the analyses. In this case, I recommend Gravetter and Wallnau's Statistics for the Behavioral Sciences (5th edition). If you use SPSS, this book is a must.
Rating: 
Summary: using spss
Review: i bought the first edition of this book (1997). i have used it extensively to do the statistical analysis of data for my thesis. it is a good spss reference. but does not offer 100% coverage of the tests, abilities, etc of spss. if you need to know how to carry out straight forward tests, which tests to choose, etc., this book will help you. but, if things get complicated, as they often do, this text may alert you to a situation, but then not perform the follow through to get you out of the situation. for example, i ran an anova which indicated a significant interaction. examples given in the text walk you through the lmatrix syntax for a simple 2x3 simple main effects test, but don't discuss the syntax for higher order anovas. they also alert you to the fact that they are walking you through the syntax for simple main effects assuming homogeneity of variance. if you have a situation where you are not assuming homogeneity of variance, you are out of luck, they discuss the topic no further because of space restrictions. so if you have some advanced stats questions/topics/situations, this book may not cover them, and like me you will be searching for a more thorough treatment. on its good side, is the format, and the synnopsis at the end of each chapter which summarizes the statistical findings in apa format. this is a great feature when you get to the point where you need to write up your findings! so, this book helped me out a great deal in the begining, and in the writeup phase, but when things got complicated, i was stuck.
Rating:
Summary: Great book
Review: I think this book is a great book for people understanding basic statistics and using SPSS. Actually, I also saw some reviewer didn't satisfy this book because it was too tough or could not cover more stuff. Honestly, I think this book already cover a lot of methods and I do not think one book can cover everything. Besides, if people need a specific method (for example: repeated measurement), I really do not think it is a right thing that they want to find every solutions from this book. It is unfair. Anyway, I still like this book because it is really a useful book.
Rating:
Summary: Great book
Review: It had been a difficult couple of years. I had more life changes than most people have in 30 years, and not the least was that I had moved three times. In the middle of it all, I took multivariate statistics, a graduate course that I didn't have all the prerequisites for. I loved the course, but wow, was it hard. The sheer volume of the work nearly flattened me. Then I had an emotional meltdown right in the middle of the semester project, which was to apply seven multivariate techniques to the data I had collected for my own research. My professor gave me an "incomplete," bless him, and I had the summer to finish the project. Then I moved again and lost everything -- class notes, textbook, everything. Then I found this book, and it was all I needed to complete most of the project. Each section describes a statistical procedure clearly, with examples. It is easy to decide whether the technique is appropriate for your data, or, as in my case, how to use your data to try a technique. Then you walk through the technique, step by step, with pictures. The book gives you annotated printouts to help you find the most useful information in what SPSS gives you. Then, my favorite part -- a sample results section in APA style. If I hadn't had this, I would never have finished by my revised due date, and would have had to repeat the course. Downside -- it tells you what choices to make as you go through each analysis without fully explaining the options. That's good when you're in a hurry (and I was) but I would love to see these authors make an expanded version to use when I have more time. I would like their help with choosing additional graphs, for instance. It doesn't help with non-SPSS techniques, of course, and I certainly could have used some help with Structural Equation Modeling. I have since bought Rex Kline's excellent book for that. If you need to do some heavyweight statistics, you have SPSS, and you find the SPSS help file impenetrable (if you can understand it, you don't need it), then this book is for you. It's worth its weight in gold, and it's heavy.
Rating: 
Summary: Excellent, but not for undergraduates
Review: This is a user's guide and a statistics book combined yet better because everything is explained in the context of the program and the statistical procedures available for the analysis of data. The step by step instructions and clearly presented sample problems which accompany each procedure are some of this book's best features, not to mention its easy to follow organization. An added bonus for the social scientist is the APA format section at the end of each chapter. After searching high and low for something to aid me in my months of data analysis and finding many other books either unclear or insufficient in their scope, I was thrilled to come across this one!
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