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Statistical Analysis Quick Reference Guidebook: With SPSS Examples Paperback – 26 Sep 2006

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Product details

  • Paperback: 280 pages
  • Publisher: SAGE Publications, Inc (26 Sept. 2006)
  • Language: English
  • ISBN-10: 1412925606
  • ISBN-13: 978-1412925600
  • Product Dimensions: 23 x 15.3 x 1.4 cm
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 1,339,239 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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About the Author

Alan Elliott is the Director of the Statistical Consulting Center at Southern Methodist University within the Department of Statistical Science. Previously he served as a statistical consultant in the Department of Clinical Science at the University of Texas Southwestern Medical Center at Dallas for 30 years. Elliott holds master’s degrees in Business Administration (MBA) and Applied Statistics (MAS). He has authored or coauthored over 35 scientific articles and over a dozen books including the Directory of Microcomputer Statistical Software, Microcomputing with Applications, Using Norton Utilities, SAS Essentials, Applied Time Series Analysis, and Statistical Analysis Quick reference Guidebook with SPSS Examples. Elliott has taught university-level courses in statistics, statistical consulting, and statistical computing for over twenty-five years. 



Wayne A. Woodward, Ph.D., is a Professor of Statistics and chair of the Department of Statistical Science at Southern Methodist University. He is a fellow of the American Statistical Association and was the 2004 recipient of the Don Owen award for excellence in research, statistical consulting, and service to the statistical community. In 2007 he received the Outstanding Presentation Award given by the Section on Physical and Engineering Sciences at the 2007 Joint Statistical Meetings in Salt Lake City, Utah. In 2003 he was named a Southern Methodist University Distinguished Teaching Professor by the university’s Center for Teaching Excellence, and he received the 2006-2007 Scholar/Teacher of the Year Award at SMU, an award given by the United Methodist Church. . Over the last 35 years he has served as statistical consultant to a wide variety of clients in the scientific community and has taught statistics courses ranging from introductory undergraduate statistics courses to graduate courses within the Ph.D. program in Statistics at Southern Methodist University. He has been funded on numerous research grants and contracts from government and industry to study such issues as global warming and nuclear monitoring.  He has authored or coauthored over 70 scientific papers and four books. 


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Most Helpful Customer Reviews

2 of 2 people found the following review helpful By I. Brown on 3 Oct. 2008
Format: Paperback
Okay, so I haven't read this book cover-to-cover. But I have read much of it. It is sub-titled Quick Reference Guidebook and admirably performs that function. It was recommended to me and I recommend to anyone wanting to refresh or improve their Stats knowledge. It is well written, and crucially, accessible. There are guidelines for reporting results, guidelines for plotting data and a handy table in the back to guide you to the most appropriate test for your data and aims! Don't buy this book if you are doing a Ph.D in Statistics (unless you want to learn pedagogic aspects); buy this book if you want to delve into specific methods, need some help choosing your statistical test, don't trust Excel's Help function to get you safely through the minefield, or want to brush up on the subject.
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2 of 2 people found the following review helpful By L. DE BEER on 31 Oct. 2011
Format: Paperback
I wanted help with how to report ANCOVA results and this booked help me with that.

I would suggest it to any researcher who wants to know how exactly to perform an analysis in SPSS and even how to report it in an article you are writing.

Not a bad book at all.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 8 reviews
6 of 8 people found the following review helpful
Best SPSS resource I've seen! 19 Mar. 2007
By College Professor - Published on Amazon.com
Format: Paperback
I just received my copy of this book, and it looks great! If I were teaching a research methods class, I'd adopt this as a required text. In fact, I used the book today when one of my college students asked how to report the results of a test in an academic paper. I quickly turned to the right section and consulted the "How to report..." section. Excellent!
Very helpful and clear book 27 Feb. 2013
By Nico Chuka - Published on Amazon.com
Format: Paperback
I must admit that I don't use the SPSS program, instead I use this book to supplement the material I learn in my environmental statistics course where we use minitab software. Since my course does not use a textbook, I found this book at my school library and found the conciseness of the book and SPSS examples relevant and helpful. It's a great little book to help you understand the basic concepts of statistics. I definitely plan on purchasing this book in the near future!
One of the best book on Statistics using SPSS 16 May 2012
By Ron - Published on Amazon.com
Format: Paperback Verified Purchase
Let me sum up my review in one sentence: The official SPSS books are not as good as this! If you are looking for a great introduction to statistics and also want to learn how to use SPSS to run statistical then make this your guide! This does not cover anything advanced but does a great job of explaining clearly the basics.
This book saved my rearend when I took Psychology Stats ... 21 Dec. 2014
By Emily - Published on Amazon.com
Format: Paperback Verified Purchase
This book saved my rearend when I took Psychology Stats at university. I used it every day, every night for homework, to study for tests and to help me in my research classes. A life saver!!
Excellent summary reference 16 July 2013
By Robert Germech - Published on Amazon.com
Format: Paperback Verified Purchase
Very easy to read, short and concise
Key-points clearly identified and highlighted
Needs a section on how to transform data to obtain better linear fit
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