Synopses & Reviews
Praise for previous editions:
"This book really is a life saver … If the mere thought of statistics gives you a headache, then this is the book for you." - Statistics student, UK
"I just wanted to say how much I value Julie Pallant's SPSS Survival Manual. Its quite the best text in SPSS Ive encountered and I recommend it to anyone whos listening!" - Professor Carolyn Hicks, Birmingham University, UK
"… one of the most useful functional pieces of instruction I have seen. So, gold star and thanks." - Instructional designer, USA
"There are several SPSS manuals published and this one really does 'do what it says on the tin' ... Whether you are a beginner doing your BSc or struggling with your PhD research (or beyond!), I wholeheartedly recommend this book." - British Journal of Occupational Therapy, UK
Praise for the new edition:
"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
In this fully revised edition of her bestselling text, 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 SPSS output and an example of how to present the results in a report.
For both beginners and experienced SPSS users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an 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.
In this third edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output in version 15. A new flowchart is included for SPSS procedures, and factor analysis procedures have been streamlined. It also includes more examples and material on syntax. Additional data files are available on the books's supporting website.
Synopsis
A lifeline to students andresearchers grappling withSPSS data analysis softwareThis fully revised and updated edition of theSPSS Survival Manual guides readersthrough the entire research process, helpingthem choose the right data analysis techniquefor any project. From the formulationof research questions, to the design of thestudy and analysis of data, to reporting theresults, the author discusses basic andadvanced statistical techniques. Each techniqueis clearly outlined, with step-by-stepprocedures for performing the analysis, adetailed guide to interpreting SPSS output,and an example of how to present theresults in a report. Statistical techniquescovered include:
- Descriptive statistics
- Correlation
- Multiple regression
- Logistic regression
- Factor analysis
- T-tests
- Analysis of variance
- Multivariate analysis of variance
- Analysis of covariance
- Non-parametric tests
Illustrated with screen grabs, examples ofoutput, and tips, the SPSS Survival Manualcan be used by researchers at any levelacross all disciplines. It is supported by awebsite with sample data and guidelines onreport writing and is fully updated for SPSSVersion 12.
Synopsis
A lifeline to students andresearchers grappling withSPSS data analysis softwareThis fully revised and updated edition of theSPSS Survival Manual guides readersthrough the entire research process, helpingthem choose the right data analysis techniquefor any project. From the formulationof research questions, to the design of thestudy and analysis of data, to reporting theresults, the author discusses basic andadvanced statistical techniques. Each techniqueis clearly outlined, with step-by-stepprocedures for performing the analysis, adetailed guide to interpreting SPSS output,and an example of how to present theresults in a report. Statistical techniquescovered include:
- Descriptive statistics
- Correlation
- Multiple regression
- Logistic regression
- Factor analysis
- T-tests
- Analysis of variance
- Multivariate analysis of variance
- Analysis of covariance
- Non-parametric tests
Illustrated with screen grabs, examples ofoutput, and tips, the SPSS Survival Manualcan be used by researchers at any levelacross all disciplines. It is supported by awebsite with sample data and guidelines onreport writing and is fully updated for SPSSVersion 12.
About the Author
Julie Pallant has spent many years helping students overcome statistics phobia. She is currently a research coordinator in the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Australia. Previously she has also worked as an applied statistics lecturer, counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.
Table of Contents
Data files and website
Introductionandoverview
PART ONE: GETTING STARTED
Chapter 1: Designing a study
Chapter 2: Preparing a codebook
Chapter 3: Getting to know SPSS
PART TWO: PREPARING THE DATA FILE
Chapter 4: Creating a data file and entering data
Chapter 5: Screening and cleaning the data
PART THREE: PRELIMINARY ANALYSES
Chapter 6: Descriptive statistics
Chapter 7: Using graphs to describe and explore data
Chapter 8: Manipulating the data
Chapter 9: Checking the reliability of a scale
Chapter 10: Choosing the right statistic
PART FOUR: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS
Techniques covered in Part Four
Revision of the basics
References
Chapter 11: Correlation
Chapter 12: Partial correlation
Chapter 13: Multiple regression
Chapter 14: Logistic regression
Chapter 15: Factor analysis
PART FIVE: STATISTICAL TECHNIQUES TO COMPARE GROUPS
Techniques covered in Part Five
Assumptions
Type 1 error, Type 2 error and power
Planned comparisons/Post-hoc analyses
Effect size
References
Chapter 16: T-tests
Chapter 17: One-way analysis of variance
Chapter 18: Two-way between-groups ANOVA
Chapter 19: Mixed between-within subjects analysis of variance
Chapter 20: Multivariate analysis of variance
Chapter 21: Analysis of covariance
Chapter 22: Non-parametric statistics
Appendices
Recommended references
Index