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Julie Pallant
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SPSS Survival Manual: A step by step guide to data analysis using IBM SPSS Paperback – 23 March 2016

by Julie Pallant (Author)
4.6 out of 5 stars 56 ratings
Edition: 6th
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.

In her bestselling guide, 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 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.

For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.

This sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non- parametric statistics, importing data, and calculating dates.

'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, University of Warwick

'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - Dr John Roodenburg, Monash University
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  1. ISBN-10
    1760291951
  2. ISBN-13
    978-1760291952
  3. Edition
    6th
  4. Publication date
    23 March 2016
  5. Language
    English
  6. Dimensions
    20.3 x 2.11 x 25.4 cm
  7. Print length
    368 pages
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SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS
SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS
$109.20
(538)
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Product description

About the Author

JULIE PALLANT has spent many years helping students overcome 'statistics phobia' in her roles as Director of Research and Graduate Studies in the Department of Rural Health at the University of Melbourne, and Senior Lecturer in Applied Statistics at Swinburne University. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.

Product details

  • Publisher ‏ : ‎ Routledge; 6th edition (23 March 2016)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 368 pages
  • ISBN-10 ‏ : ‎ 1760291951
  • ISBN-13 ‏ : ‎ 978-1760291952
  • Dimensions ‏ : ‎ 20.3 x 2.11 x 25.4 cm
  • Customer Reviews:
    4.6 out of 5 stars 56 ratings

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Julie Pallant

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  • Garry Kemp
    5.0 out of 5 stars book
    Reviewed in the United Kingdom on 3 February 2021
    Verified Purchase
    does what it says,gives information
    Report
  • kap jo
    4.0 out of 5 stars Four Stars
    Reviewed in Canada on 8 March 2017
    Verified Purchase
    Great way to learn how to use some SPSS functionalities!
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  • not a natural
    5.0 out of 5 stars An Ideal Instructional Tool
    Reviewed in the United States on 1 November 2011
    Verified Purchase
    Pallant's SPSS Survival Manual may be even more valuable for instructors than for students. I used various editions of the Manual in teaching a graduate-level course intended to introduce quantitative research methods to students in a variety of social and behavioral sciences, and found that -- wonder of wonders! -- I could devote almost all my instructional time to presenting material pertaining to the substance of the course, while spending very little time on discussion of computer conventions.

    The students who enrolled in the class did so, with rare exceptions, under duress because it was a requirement for completing their master's degree programs. While they were generally capable, almost none had an interest in data analysis or related computer applications. A few were genuinely math phobic, but most were just not interested, preferring to devote their in-class and study time to material intrinsic to their disciplines, whether they be nursing, journalism, kinesiology, sports management, educational administration, or one of a fairly large number of other majors. Nevertheless, the SPSS Survival Manual enabled them to undertake credible analyses of informative data sets with remarkably little difficulty.

    The SPSS Survival Manual is correctly construed as a self-instructional tool, even for students who are indifferent to quantitative methods and their applications. In fact, since the Manual takes data analysis from the forbidding domain of the alien and unfathomable and enables students to show themselves that quantitative methods may have interesting applications in their fields of study, it seems perfectly reasonable to argue that the Manual generates interest in data analysis where none existed.

    The SPSS Survival Manual is quite rare in that it can be correctly construed as a self-instructional tool, even for students who once lived in dread of quantitative research, putting off research methods courses as long as possible. During more than two decades of teaching master's-level students material that they really were not keen on learning, the Manual proved to be one of the most useful instructional tools that I found. It lives up to its billing,and has been instrumental in the completion of a lost of master's theses and projects that otherwise would have gone unfinished or would have taken a very different form.
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  • Veronique Langlois
    3.0 out of 5 stars la version n'est pas tout à fait à jour. ...
    Reviewed in Canada on 19 October 2016
    Verified Purchase
    la version n'est pas tout à fait à jour. Ce n'était pas clair sur le site que c'était une aussi vielle version du manuel. Néanmoins, le contenu demeure fiable pour réaliser les analyses dans SPSS. Ce n'est pas un guide clair pour quelle analyse choisir selon une question précise dans des conditions données, mais c'est un manuel de soutien utile pour SPSS.
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  • Anderson
    5.0 out of 5 stars "SPSS Survival Manual" VS "Discovering Statistics using SPSS for Windows"
    Reviewed in the United States on 26 October 2005
    Verified Purchase
    I will have to say this one, "SPSS Survival Manual" is the winner.

    I've owned this book and a few others on SPSS and or multivariate data analysis for several years. However, a friend of mine recently called me and asked me how to do a few less ordinary things in SPSS. After spending some time on the phone with him I decided to look back at these books and suggest/give one to my friend.

    I think the "SPSS Survival Manual" by Julie Pallant is somewhat of an easier read for the graduate student or market researcher who wants to quickly look up a certain how-to topic for SPSS.

    "Discovering Statistics Using SPSS for Windows" by Andy Field, on the other hand goes into more detail on the statistics behind the techniques in SPSS. This one reads a little more like a text book though and can be a bit dry/technical unless this is your thing.

    I tested the two by seeing which would do a better job of explaining how to conduct a Factor Analysis (PCA) in SPSS. "Discovering Statistics..." by Andy Field would have lost my friend right away, and by page three or four is listing formulas and quadrant plots. "SPSS Survival Manual" by Pallant on the other hand got into the `how to' part rather quickly with clear to follow examples.

    If you're like my friend/more into getting it done quickly and correctly without getting bogged down with the academic detail, then definitely purchase the "SPSS Survival Manual".

    If on the other hand you're not scared of a little extra math/statistics and have the extra time, you may want to think about "Discovering Statistics".

    However, for the hard core multivariate analytics people, neither of these books will due. I would suggest something like "Multivariate Data Analysis" by Hair, Anderson, Tatham, & Black. This goes a few steps beyond Andy Fields Book.

    Hope this helps someone.

    Tom Anderson
    Anderson Analytics, LLC
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