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Statistics without Maths for Psychology, 9th edition

Published by Pearson (December 1, 2024) © 2025

  • John Reidy Sheffield Hallam University
  • Christine Dancey University of East London

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For courses covering Statistics and Quantitative Reseach Methods in Psychology

Make statistics less intimidating for your students with this highly accessible textbook.

Statistics without Maths for Psychology 9th edition by John Reidy and Christine Dancey is an essential and accessible guide to Statistics for Psychology.

The no-nonsense, straight-forward approach of this trusted textbook breaks down the key statistical concepts that students need to know without any of the daunting mathematical formulae that can intimidate students when studying research methods and statistics in Psychology. It also guides students through how to use SPSS for their analyses, so that they feel confident to conduct their own independent research. It is packed with examples, activities and questions to help them test their learning and deepen their understanding in a practical and manageable way.

The companion website will also include video walkthroughs of these concepts in Jamovi, in case you or your institution uses this programme for your analysis.

Hallmark features of this title

Relevant, real-life understanding of concepts

  • Boxed examples help students applying concepts the real-world and their own future research projects.
  • Discussion points help students to explore the key current debates in psychological research.

Puts theory into practice

  • Illustrations and images throughout the book enliven the text and visually guide students through more complex concepts.
  • SPSS exercises help students to work through the concepts within chapters and apply their learning.

User-friendly structure

  • Consistent framework Overviews at the beginning of each chapter explicitly highlight the key areas that will be explored, and summaries help students to check their understanding at the end of each chapter.
  • End-of-chapter MCQs provide a useful means of revising and checking understanding.

New and updated features of this title

  • Chapters fully updated with simplified explanations, making the text as accessible as possible for students that are intimidated by statistics
  • Examples from the latest literature around the globe added to show students the global context of psychological research
  • Added guidance on using Bayes Factors
  • SPSS walkthroughs throughout the text have been updated to SPSS Version 26
  • Jamovi walkthroughs added to the companion website show students how to run analysis in an alternative platform.

Features of Pearson eTextbook for the 9th Edition.

The following interactives have been added to the Pearson eTextbook to help students consolidate their understanding.

  • End of chapter MCQ quizzes – students can test their understanding, reinforcing important points and encouraging active participation.
  • SPSS Walkthrough Videos – guide students through how to use SPSS, allowing them to visualize how to conduct their own analysis.
  • SPSS exercises – helps students to put into practice the concepts that they have learnt in each chapter.

Find out more about Pearson eTextbooks.

  • Preface
  • Acknowledgements
  • 1 Variables and research design
  • 2 Introduction to SPSS
  • 3 Descriptive statistics
  • 4 Probability, sampling and distributions
  • 5 Hypothesis testing and statistical significance
  • 6 Correlational analysis: Pearson’s r
  • 7 Analyses of differences between two conditions: the t-test
  • 8 Issues of significance
  • 9 Measures of association
  • 10 Analysis of differences between three or more conditions
  • 11 Analysis of variance with more than one IV
  • 12 Regression analysis
  • 13 Analysis of three or more groups partialling out effects of a covariate
  • 14 Introduction to factor analysis
  • 15 Introduction to multivariate analysis of variance (MANOVA)
  • 16 Non-parametric statistics
  • Answers to activities and SPSS exercises
  • Appendix 1: Table of z-scores and the proportion of the standard normal distribution falling above and below each score
  • Appendix 2: Table r to zr
  • Index

John Reidy is an Emeritus Professor of Psychology at Sheffield Hallam University. He was previously Head of Department for the Department of Psychology, Sociology and Politics at Sheffield Hallam University. His research interests include cognition and emotion, health psychology interventions and psychometric testing.

Christine P. Dancey was an Emeritus Professor of Psychology at the University of East London.

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Pearson eTextbook: What’s on the inside just might surprise you

They say you can’t judge a book by its cover. It’s the same with your students. Meet each one right where they are with an engaging, interactive, personalized learning experience that goes beyond the textbook to fit any schedule, any budget, and any lifestyle.Â