Skip to main content

Published by Pearson (November 13, 2024) © 2025

John Reidy | Christine Dancey
    Pearson eTextbook (1825 Days access)
    €43,99
    ISBN-13: 9781292474052

    Statistics Without Maths for Psychology ,9th edition

    Access details

    • Instant access fulfilled by Pearson
    • Offline and online access via mobile app
    • NB does NOT include access to MyLab/Mastering

    Features

    • Add notes and highlights
    • Search by keyword or page
    • Stay organised with all your Pearson eTextbooks in one place

    Language: English

    Product Information

    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 you 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 you through how to use SPSS for your analyses, so that you feel confident to conduct your own future independent research. It is also packed with examples, activities and questions to help you to test your learning and deepen your 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.

    • 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
    Top