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SPSS survival manual: a step by step guide to data analysis using IBM SPSS Spiral-bound – 1 May 2013

4.6 out of 5 stars 150 customer reviews

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  • SPSS survival manual: a step by step guide to data analysis using IBM SPSS
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  • DISCOVERING STATISTICS USING IBM SPSS STATISTICS
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Product details

  • Spiral-bound: 368 pages
  • Publisher: Open University Press; 5 edition (1 May 2013)
  • Language: English
  • ISBN-10: 0335262589
  • ISBN-13: 978-0335262588
  • Product Dimensions: 22.2 x 2.5 x 25.4 cm
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (150 customer reviews)
  • Amazon Bestsellers Rank: 113,993 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

About the Author

Julie Pallant has spent many years helping students overcome 'statistics phobia'. She is Associate Professor and Director of Research and Graduate Studies in the Rural Health Academic Centre at the University of Melbourne. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.


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Customer Reviews

Top Customer Reviews

Format: Spiral-bound
This book really lives up to its name. Julie Pallant takes you through the requirements for preparing your data for analysis and gives you tips on how to manipulate them. The quick tour through basic statistics is a life-saver that gives you the confidence to proceed with the appropriate statistical testing. The step-by-step 'idiots guide', telling you which button to press next, takes the hassle out of data analysis. You are also provided with a 'hand-holding' guide to explain exactly what your output means. The book is logically set-out with a table summarising the various statistical tests and their uses, together with a basic explanation of what each test is providing for you in terms of statistical analysis. There are also plenty of references to guide you to more advanced texts, should you require them. I highly recommend this book to any MBA student carrying out a dissertation project, or anyone who needs some basic help with using SPSS and data analysis techniques. Julie Pallant, I really hope that you are considering writing some basic statistical textbooks because they would be incredibly useful.
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Format: Spiral-bound
Julie Pallant saved my life with this book. Ok, slight exageration but this book really is a life saver. While this book doesn't give an in-depth description of all the statisitical techniques and the theory behind them, it does tell you how to enter data into SPSS, see whether it has a normal distribution, select and run the appropriate test, interpret the results and finally even how to present those results. If the mere thought of statistics gives you a headache then this book is for you!
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By Dr. Paul Ell HALL OF FAMETOP 500 REVIEWERVINE VOICE on 3 May 2011
Format: Spiral-bound Vine Customer Review of Free Product ( What's this? )
This book is an excellent guide to SPSS, or to be very specific IBM SPSS version 18. It is not an exhaustive volume containing in index-like detail all of the commands or purposes SPSS could be used for. Instead it provides a user-focussed approach to the software from the first principals of designing and collecting numeric data, to basic analytical techniques through to more complex procedures from regression at the simpler end to Factor Analysis. Very usefully the book not only describes how to conduct statistical analyses' but also how to interpret the results from SPSS.

Any software manual is at the mercy of program updates. SPSS is currently now at version 19, but the book remains largely unaffected by the software's revision. In part this is because it is not a description of every menu and option but deals with real applications of SPSS. For new users, or those who haven't used SPSS for a while, I'd recommend it.
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Format: Spiral-bound
For someone who is not only scared by stats but is also pretty clueless about them (like me), this book is brilliant! Whether you have never opened SPSS before or whether you have some basic knowledge but not enough to do what you need, this book fits the bill. The writing is clear and easy to understand, with no jargon and useful examples, the boxes that show how to perform the analysis is just as clear and when used in conjunction with the datasets on the website provide peace of mind on how simple it all is!

I would recommend this book to anyone who needs to use SPSS for any type of research (especially at undergraduate dissertation level) as it provides really clear and relevant help on all aspects of SPSS from getting to grips with the programme itself through to inputting the data, choosing the right statistic to analyse your data, and of course how to analyse it and interpret the results.

Quite simply, brilliant!
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By Chris VINE VOICE on 9 Feb. 2011
Format: Spiral-bound Vine Customer Review of Free Product ( What's this? )
In general, I think you can never have too many statistics textbooks, and this one is a reasonable addition to your shelf. The text proceeds through the basic assumptions of the commonest statistical tests you'd find in e.g. a social sciences research methods class, and is an OK guide to the use and interpretation of SPSS's output in response. There are a few things you should be aware of, though :

-The nature of the SPSS output is explained in, mostly, 1-3 solid pages of text which aren't well-segmented or placed under headings, and thus not particularly easy to read through - you're tacitly nudged towards reading through the entire 3 pages, whereas you may simply want to refer to something specific for a moment instead.

-The language used throughout requires a moderate degree of statistical knowledge to interpret in the first place.

-There are a few places where you'll read "this is outwith the scope of this book", which, while true, is not exactly helpful, although you will be pointed towards other, more comprehensive sources of further reading.

-There are one or two fairly definitive proclamations in the text which should be taken with a grain of salt; although a mathematical procedure, statistics and their interpretations are rather rarely absolutely definitive; often, it's implications rather than irrefutable prediction. For example, the note that one should "never" replace a missing variable with a column mean (p127) is more or less opinion than fact - there are times when it can be useful. Similarly, the cautionary note regarding interpreting correlation results from restricted populations (p124) isn't an absolutely cut and dried matter either.

In all, this is a decent reference book for the price.
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