Doing Statistics With SPSS: A Step-by-Step Guide for Beginners by Alistair W. Kerr

Introduction

Statistics can feel like a daunting hurdle for many students, especially when you are just beginning your journey in research or a science-based undergraduate programme. The challenge is not just in understanding the numbers but in knowing how to apply the right statistical test and interpret the results with confidence. Doing Statistics With SPSS by Alistair W. Kerr is a practical, hands-on guide designed to take the fear out of data analysis. Published by Sage Publications UK, this hardcover edition is an essential companion for Indian students and researchers who want to master the art of using SPSS without getting lost in complex mathematical jargon.

Book Overview

This book is built on the authors' extensive experience of teaching undergraduates how to handle data using SPSS. It assumes no prior knowledge beyond basic arithmetic, making it ideal for anyone enrolled in an introductory statistics course within a science-based programme. The text walks you through the entire process of a research study—from the pre-analysis stages to performing the actual statistical tests and interpreting the output. It emphasises that data analysis is not an isolated step but the 'icing on the cake' of a well-prepared research study. Each chapter is structured to help you make informed choices about which test to use, understand the assumptions behind each test, execute the analysis in SPSS, and read the results like a pro.

Key Highlights

• Beginner-Friendly Approach: No advanced mathematics required—only basic operations like addition, subtraction, multiplication, and division are assumed.
• Step-by-Step SPSS Guidance: Clear, illustrated instructions on how to run each statistical test using SPSS software.
• Interpretation Focus: Helps you understand what the SPSS output actually means, not just how to generate it.
• Research Context: Places statistics within the familiar framework of a research study, highlighting the importance of pre-analysis planning.
• Practical Exercises: End-of-chapter activities to reinforce learning and build confidence.

Inside the Book

The book is organised into logical chapters that mirror the flow of a typical research project. It begins with foundational concepts like data entry, variable types, and descriptive statistics. As you progress, you will explore inferential statistics, including t-tests, ANOVA, correlation, regression, and non-parametric alternatives. Each chapter includes a clear explanation of the statistical test, the assumptions it makes, a step-by-step SPSS demonstration, and a detailed guide to interpreting the output tables. The final chapters help you choose the right test for your data and avoid common mistakes.

Key Topics

• Introduction to SPSS interface and data management
• Descriptive statistics: mean, median, mode, standard deviation
• Graphical representation of data
• Hypothesis testing and p-values
• Independent and paired sample t-tests
• One-way and two-way ANOVA
• Pearson and Spearman correlation
• Simple and multiple linear regression
• Chi-square tests for categorical data
• Non-parametric tests: Mann-Whitney, Wilcoxon, Kruskal-Wallis

Reader Benefits

• Build Confidence: Gain the skills to perform your own data analysis without reliance on others.
• Save Time: Learn exactly which test to use for your research questions, avoiding trial and error.
• Improve Grades: Understand how to present statistical results correctly in assignments and dissertations.
• Practical Skill: Master SPSS, a widely used software in Indian universities and research institutions.
• Research Ready: Develop a solid foundation for more advanced statistical methods in future studies.

Learning Outcomes

• Identify the appropriate statistical test for different types of data and research questions.
• Enter, clean, and manage datasets in SPSS with confidence.
• Run descriptive and inferential statistical analyses using SPSS menus and syntax.
• Interpret SPSS output tables and charts to draw meaningful conclusions.
• Write up statistical results in a clear, standard format suitable for academic reports.

Who Should Read

This book is perfect for undergraduate students in science, psychology, social sciences, health sciences, and any field that requires data analysis. It is also an excellent resource for postgraduate students who need a refresher on SPSS basics, as well as early-career researchers looking for a practical reference. Indian students pursuing B.Sc., B.A., B.Com., or BBA programmes with a statistics component will find this book especially useful.

About the Author

Alistair W. Kerr is an experienced academic and educator who has spent years teaching statistics to undergraduate students. His approachable writing style and focus on real-world application make complex topics accessible. He understands the common struggles students face and addresses them directly, making this book a trusted companion for learners around the world.

About the Publisher

Sage Publications UK is a leading independent academic and professional publisher. Known for its high-quality textbooks and research resources, Sage has a strong reputation in the social sciences, education, and research methods. This book reflects Sage's commitment to providing clear, practical, and scholarly content that supports students and researchers at every stage of their academic journey.

Conclusion

Doing Statistics With SPSS is more than just a manual—it is a patient teacher that guides you through the entire process of data analysis. Whether you are preparing a class assignment, a final-year project, or your first research paper, this book will give you the tools and confidence to handle your data correctly. With its focus on understanding rather than rote learning, it is a valuable addition to any student's library. Order your copy today from Bookshops.in and take the first step towards becoming proficient in statistics with SPSS.