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SPSS Survival Manual: A step
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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.
- Sales Rank: #593964 in Books
- Published on: 2010-11-01
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 1.06" w x 8.70" l, 1.81 pounds
- Binding: Spiral-bound
- 352 pages
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.
Most helpful customer reviews
13 of 13 people found the following review helpful.
Good, but nothing advanced
By swimbikepsych
Good overall, but no advanced information on syntax or special situations or designs. Screenshots and interpretations are helpful. Just don't expect anything too detailed. Would probably be helpful for MA students and beginning PhDs. As a doctoral candidate, it didn't quite include everything I had hoped. Still, useful and it'll stay on my bookshelf to be pulled out now & again when I'm working with unfamiliar but basic designs or writing up results. Does a nice job including assumptions for the model, how to check them, and how to interpret them--without too much jargon :)
19 of 19 people found the following review helpful.
So glad I got it!
By Busy
Anyone wanting to use SPSS just MUST get this book - especially if you are working on your dissertation! She makes it easy and understandable with her step by step process. Unless you are a super-sophisticated statistician, you will be so glad you got this book! I have recommended it to my other doctoral cohorts and they agree with me - even my chairperson of my committee who is a statistical genius highly recommends it!
142 of 143 people found the following review helpful.
"SPSS Survival Manual" VS "Discovering Statistics using SPSS for Windows"
By Tom Anderson
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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