SPSS for Windows Step by Step: A Simple Guide and Reference, 10.0 Update (3rd Edition)

Author: Darren George, Paul Mallery
List Price: $50.00
Our Price: Click to see the latest and low price
ISBN: 0205331270
Publisher: Pearson Allyn & Bacon (31 October, 2000)
Edition: Paperback
Sales Rank: 23,297
Average Customer Rating: 5 out of 5

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Customer Reviews

Rating: 5 out of 5
This book is essential
The book is extremely well written and is essential reading for anyone who wants to learn SPSS. It has great coverage of all major SPSS procedures except survival analysis. I highly recommend it!


Rating: 5 out of 5
Dummy-Proof!
If you want to go from a stupid to savvy about statistics, this is the book for you. No jargon, no obtuse references, just simple explanations and directions. I secretly credit this book with getting me through my Ph.D. Also,Darren George's willingness to answer questions and offer help via e-mail was invaluable. This book makes things so clear, that I am now able to explain statistics to others -- something that once would have seemed as likely as inventing a calorie-free shake. A must for any researcher in the social sciences.


Rating: 5 out of 5
A comment from the Author
Paul Mallery (my co-author) and I have gone to excruciating efforts, particularly on the first 16 chapters of this book, to create a tool that makes SPSS absolutely clear to the beginner. In the final 12 chapters our book explores more complex statistical procedures (log-linear models, factor analysis, discriminant analysis, multi-dimensional scaling, and others) in the identical format as the earlier chapters.

The comments by the individuals from Iowa and Minnesota reflect the many e-mails we have received on this book from, literally, all over the world. While we routinely recommend that anyone who uses the book first take a course in statistics, for anyone with reasonable math aptitude, the first 16 chapters should be understandable without ANY statistical background. If you are looking for a book that is comprehensive yet ultimately understandable for fundamental statistical procedures (data entry, data manipulation, frequencies, descriptives, chi-squares, t-tests, correlations, ANOVAs, simple linear and multiple regression analysis, graphs) but includes excellent coverage on the more advanced procedures we suggest that this book was made for you.

We, the authors, welcome your comments. These are considered carefully as we create new editions of the book.

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