SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSSSpiral bound Open University Press
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- Publisher: OPEN UNIVERSITY PRESS
- Format: Spiral bound | 352 pages
- Dimensions: 220mm x 252mm x 32mm | 798g
- Publication date: 1 November 2010
- Publication City/Country: Milton Keynes
- ISBN 10: 0335242391
- ISBN 13: 9780335242399
- Edition: 4, Revised
- Edition statement: 4th Revised edition
- Sales rank: 12,619
'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.
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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.
By David Harbinson 10 Jul 2012
This book is excellent - it is a lifesaver!
I used it for my MA dissertation in applied linguistics, and had no prior knowledge to statistics at all. There is no way I could have used SPSS without it. Fortunately I didn't have to write too much about the theory in my dissertation, but for the practical side I don't think you'll need anything else!
By James Flynn 28 Sep 2011
I used this book throughout my psychology degree, and found it invaluable. If you've taken a look at Andy Field's "Discovering Statistics Using SPSS" and nearly fainted with the effort of lifting the 1000+ pages, then this is the book for you.
A word of caution, however. Some of the methods described in Pallant's book differ from that of Field's. That's OK most of the time, but it did cost me some marks in one of the assignments for the Research Methods module.
All in all, an essential textbook for those of us not blessed with mathematical skills.
Table of contents
Preface Data files and website Introduction and overview Part One: Getting started Designing a study Preparing a codebook Getting to know SPSS Part Two: Preparing the data file Creating a data file and entering data Screening and cleaning the data Part Three: Preliminary analyses Descriptive statistics Using graphs to describe and explore the data Manipulating the data Checking the reliability of a scale Choosing the right statistic Part Four: Statistical techniques to explore relationships among variables Correlation Partial correlation Multiple regression Logistic regression Factor analysis Part Five: Statistical techniques to compare groups Non-parametric statistics T-tests One-way analysis of variance Two-way between-groups ANOVA Mixed between-within subjects analysis of variance Multivariate analysis of variance Analysis of covariance Appendix: Details of data files Recommended reading References Index