TRUSTED TEXBOOK
SPSS Survival Manual
A step-by-step guide to data analysis using IBM SPSS
WORLDWIDE BEST SELLER
SPSS Survival Manual
8th Edition · Updated for IBM SPSS Statistics Version 31
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If you find statistics confusing or overwhelming, this book was written for you. The SPSS Survival Manual is a practical guide that takes you through the process of choosing the right analysis, preparing your data, running procedures in IBM SPSS, interpreting your output, and writing up your results correctly.
Written in plain English with no unnecessary jargon or complex formulas — whether you are completely new to SPSS or returning after time away, this book will guide you through every stage clearly and confidently.
Trusted by hundreds of thousands of students and researchers worldwide
WHO IS IT FOR
Written for anyone working with SPSS
Students
Undergraduate and postgraduate students working on assignments, research projects, or theses who need clear, practical guidance on using SPSS.
Researchers
Anyone conducting quantitative research who needs step-by-step guidance on choosing the right analysis, running it correctly, and reporting the results.
Educators
Lecturers and supervisors looking for a reliable, accessible textbook to recommend to students learning statistical analysis for the first time.
8th edition
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Updated for IBM SPSS
Statistics Version 31
Used worldwide
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Psychology, education, health
and social sciences
Plain english
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No formula, no jargon, just clear,
easy to follow guidance
CONTENTS
What the book covers
Preparing your data
Set up your data structure in SPSS or import from Excel. Screen, clean and organise your data before starting statistical analysis.
Choosing the right statistic
Learn about different statistical techniques and select the most appropriate one for your research question and data.
Preliminary analyses
Use descriptive statistics and graphs to describe and explore your data. Manipulate and recode variables. Check the reliability of scales.
Exploring relationships
Correlation, multiple regression, logistic regression, and exploratory factor analysis to assess relationships among variables.
Comparing groups
T-tests, ANOVA, MANOVA, and ANCOVA to compare groups and assess change over time across two or more groups.
Non-parametric techniques
Chi-square, Mann-Whitney U, Kruskal-Wallis, Friedman test, and Kappa — for when data does not meet parametric assumptions.
Each chapter includes guidance on checking assumptions, running analyses, interpreting output, and writing up results correctly.
WHAT READERS SAY
Trusted by researchers worldwide
"
Julie Pallant has a rare gift for making statistics feel less daunting. This book continues to be my go-to recommendation for researchers new to SPSS — it walks readers through each step in a reassuring, accessible way, making even the most technical concepts feel manageable.
Dr Lyn Lavery
Academic Consulting
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"
An excellent introduction to using SPSS for data analysis. It provides a self-contained resource with detailed and clear, step-by-step descriptions of statistical procedures. For each statistical technique a brief but consistently reliable explanation is provided.
Assoc Prof George Dunbar
University of Warwick
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This book is recommended as ESSENTIAL to all students completing research projects.
Dr John Roodenburg
Monash University
Get your copy
Available from Routledge with free worldwide shipping — and often with discount deals.
Also available from Amazon and other online booksellers worldwide.
ABOUT THE AUTHOR
Julie Pallant
Julie Pallant is an author, researcher, lecturer, and statistical consultant with 25 years of experience helping students and researchers build confidence with data analysis. She is the author of the internationally bestselling SPSS Survival Manual and is based in New South Wales, Australia.