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SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS Spiral-bound – 1 November 2010

by Julie Pallant (Author)
4.4 out of 5 stars 142
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SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS
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'It reads as though someone is sitting next to you conversing with you and taking you through it ...It has a reassuring tone. Julie Pallant writes in a kind and inclusive way which students appreciate' - Sue Thorpe, Lecturer in Research Methods, Department of Psychology, University of Surrey, UK. 'Its key strengths are clarity, clear English, clear explanations, and clear examples. What this book does well is to provide easy, straightforward explanations' - Martin Lea, Senior Lecturer, School of Psychological Sciences, University of Manchester, UK. 'An excellent introduction to using SPSS for data analysis...It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided' - Associate Professor George Dunbar, Department of Psychology, University of Warwick, UK. Julie Pallant's "SPSS Survival Manual" throws a lifeline to students and researchers grappling with this data analysis software. In this thoroughly revised edition of her bestselling text, now covering up to version 18 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with easy to follow step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the Non_parametric Statistics chapter. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the "SPSS Survival Manual" is the essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.
Previous page
  1. Print length
    352 pages
  2. Language
    English
  3. Publisher
    Open University Press
  4. Publication date
    1 November 2010
  5. Dimensions
    19.99 x 2.11 x 25.4 cm
  6. ISBN-10
    0335242391
  7. ISBN-13
    978-0335242399
  8. See all details
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Product description

About the Author

Julie Pallant has spent many years helping students overcome 'statistics phobia'. She is 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.

Product details

  • Publisher ‏ : ‎ Open University Press; 4th edition (1 November 2010)
  • Language ‏ : ‎ English
  • Spiral-bound ‏ : ‎ 352 pages
  • ISBN-10 ‏ : ‎ 0335242391
  • ISBN-13 ‏ : ‎ 978-0335242399
  • Dimensions ‏ : ‎ 19.99 x 2.11 x 25.4 cm
  • Customer Reviews:
    4.4 out of 5 stars 142

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Julie Pallant

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Gerard P
5.0 out of 5 stars Best I've seen
Reviewed in the United States on 13 September 2013
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I've been a talent management professional for about 15 years and have a Master's in I/O. In grad school I found stats doable, but challenging and stressful. If you are a grad student and struggle with stats, I strongly recommend this book. It is written in plan english (though UK english) and gets to the brass tacks on why you do the stat operations you do with great step-by-step illustrations. In fact, it's descriptions are so simple and useful, I'd bet it's an excellent replacment for your current stats text book, which are written to purposefully confuse (or so it seems).

I recently bought this book as a professional because my team's headcount was reduced and now needed to do all the analysis myself. Privately, I anxiously wondered if I would be able to dust off my previous stats knowledge and be able to do all the analysis that my talent analytics group did. In the past, when my former team showed me stuff, I always was amazed by their cool scatter plots, r, anovas, t-tests, regressions, etc. I am now NOT amazed at all thanks to the book. The book makes anyone look very smart and gives you a 'can-do" attitude re statistical approaches and procedures.
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Julia Heller
5.0 out of 5 stars Immer wieder hilfreich
Reviewed in Germany on 4 August 2014
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Meiner Meinung nach ist dies eines der besten Statistik-Bücher, die es gibt. Es ist so übersichtlich und logisch aufgebaut, dass man in Sekundenschnelle immer im richtigen Kapitel landet. Zu jedem statistischen Test, wird ein Anwendungsbeispiel dargestellt, welches die Verknüpfung zwischen Theorie und Praxis sehr einfach macht. Häufige Querverweise helfen, auch Sonderfälle zu finden. Hilfreich finde ich vor allem, dass auch erklärt wird, wie die SPSS-Outputs zu lesen sind - wie häufig saß ich vorher vor all diesen Spalten mit Zahlen, die mir SPSS ausspuckte und wusste einfach nicht, welche Werte nun für mich relevant sind. Das ist nun vorbei. Mit diesem Buch bin ich sogar schneller am Ziel als bei jeder Suche im Internet. Da macht Statistik sogar Spaß. Ich würde das Buch uneingeschränkt empfehlen.
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Michael F. Buckley
5.0 out of 5 stars Wish I had this months ago
Reviewed in Canada on 12 December 2012
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I used to love statistics but it has been years since I passed my last stats course. I thought I could just download the most recent version of SPSS and run with it. Boy was I wrong!

Not only did I find the drop down and pop up menus confusing I couldn't get the program to do what I wanted despite being able to clearly write down what I wanted and being reasonably competent on a computer with spread sheets and data bases. It was very depressing.

This text starts with the basics and is written in clear language that allowed me to quickly skip over what I already knew and dig deeper into the parts I needed help with. In addition the section on preliminary analyses helped me to understand what I needed to do and why before actually testing my main hypotheses, something I hadn't really connected with until faced with a mountain of my own data. The coil back design means I can leave this text on my desk and dig through my data, write paragraphs in my dissertation and then jump back into the text as needed to check something that comes to mind as I am working.

To sum up. I have a lot of stats texts collected over the years that sit on my shelf. This one is staying on my desk.
2 people found this helpful
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matt 85
5.0 out of 5 stars Simply amazing!
Reviewed in the United Kingdom on 19 January 2013
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This book was just what I needed to enable me to understand basic statistics required for my final year project at university (veterinary medicine degree). It is aimed at students who are not studying statistics and have little to no knowledge of the subject. It guides you from the very basics, starting with understanding how to use SPSS, input data, analyse the type of data and what tests are appropriate, how to carry them out in SPSS and how to interpret the results. It does this without going into unnecessary details that are often included in most statistics/SPSS books that I have come across. They often lose me in boring, overcomplicated details about the test that I do not need for my purposes. I cannot recommend this book enough for anyone who requires statistics in their thesis or project at university.
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Unit 163
5.0 out of 5 stars A superior guide for SPSS newcomers
Reviewed in France on 28 December 2010
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This is a book I keep close to my workspace as it is an easy to understand and valuable SPSS resource. Pallant makes using SPSS easy and data analysis has never been more accessible for morons (like me).

Well worth the money!!
One person found this helpful
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