SPSS 15.0 Advanced Statistical Procedures Companion | 
 enlarge | Author: Marija Norusis
Publisher: Prentice Hall
Category: Book
List Price: $62.67
Buy New: $49.98
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Rating:  2 reviews
Sales Rank: 822669
Media: Paperback
Pages: 380
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 8.8 x 7.4 x 0.7
ISBN: 0132447126
Dewey Decimal Number: 310
EAN: 9780132447126
Publication Date: April 15, 2007
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Product Description
Look to SPSS 15.0 Advanced Statistical Procedures Companion for statistical introductions to some of the more advanced procedures in SPSS, including loglinear and logit analysis for categorical data, multinomial, two-stage and weighted least-squares regression, Generalized Estimating Equations, Generalized Linear Model, Kaplan-Meier, actuarial and Cox models for analysis of time-to-event data, variance components analysis, and ALSCAL.
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| Customer Reviews:
Good, but make sure this is the book for you August 4, 2007
Keith McCormick (North Carolina, USA)
4 out of 4 found this review helpful
I have always been a fan of this author's books, and I am glad I own this one. See SPSS 15.0 Statistical Procedures Companion and SPSS 15.0 Guide to Data Analysis. The table of contents for this book can be found at http://www.norusis.com/book_ASPC_v15.php. The critical detail is that the word "Advanced" refers to a module in SPSS that performs particular tasks - the same tasks listed in the Table of Contents. Some tasks in the book require the "Regression" module.
Why should you be careful about this book? Simply, it is not a novice book. Some might take it to be the right choice for those who already have a grounding in basic statistics. Not so. One of the other books would be a better choice. Or if you are interested in a review of the basics leading up to intermediate level, consider the Field book Discovering Statistics Using SPSS (Introducing Statistical Methods S.) (2nd Edition) After all, Multidimensional Scaling and PLUM are not everyday tasks even if you have mastered statistics thoroughly.
The strongest aspect of the book is that the topics covered here are covered nowhere else! They are more thorough than the help files, but not as much more thoroughly as you might hope. Complete, but without handholding. You have to be ready. It also comes with a CD. Some techniques are brand new, and covered only in this edition - frankly, the reason I felt I had to own this book. The 32 pages on GzLM being is a noteworthy example. Take a look at the "Case Studies" in the Help Menu while deciding if you need this book.
The weakest aspect of the book (although perhaps necessary) is that these examples can only serve to supplement a lot of prior knowledge, and an existing statistics library. Those with that will benefit, others need to supplement this book with others mentioned and maybe more. (I, among others, have assembled a listmania list of good SPSS basic books). Having said all that, some chapters are really quite extensive - note 80 pages on MDS by Young and Harris of UNC.
Bottom line: If you are a power user that owns the stats modules, and needs help setting up the menus, and interpreting output you might need this book. Anyone fitting this description probably has access to several (dozens??) of stats books, and might need them nearby to look up terms, to get more detail, etc. Perhaps one could get some of the 81 citations?
rather specialised ? August 7, 2007
W Boudville (Terra, Sol 3)
It is definitely a specialised readership for this book. The intersection of two criteria. One is an advanced background in statistics. The other is the use (or the need to use) SPSS 15.
Norusis does present enough in each chapter that you should be able to follow the gist, if you haven't already encountered the ideas before. Take the chapter on linear mixed models as an example. She builds upon your knowledge of dependent and independent variables. Showing how the latter can be classified as factors or measurements. In turn, the factors might be fixed or random. It all depends on the specifics of your situation. And indeed some situations might present both fixed and random factors, known as a mixed model.
In this sense, the exposition is concise, as Norusis is not presenting a general purpose stats text. In part, the brevity is achieved by avoiding the proving of theorems. There are certainly equations in the text. (There must be.) These tend to be definitions. So there's nothing to prove. (By definition!)
It just occurred to me that there is another use for this book. Earlier, I remarked that you needed both a background in advanced statistics and SPSS to want this book. But there is one other context. You have some background in statistics, in the topics mentioned by the book. But you are not using SPSS. Frankly, you may not even care about SPSS. But you need to improve your knowledge of statistics. A general text often lacks a substantive database for you to crunch. And you want that practical experience. Norusis offers a CD with this book, with numerous test data. From which to garner experience.
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