Statistics without Maths for Psychology

Autorentext

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.

Klappentext

Get to grips with key Statistical concepts

Statistics without Maths for Psychology, 9th edition is your essential guide to navigating what can be a daunting topic for Psychology students. This textbook will not only give you a core understanding of Statistics, but will also give you the confidence to analyse data within your studies and beyond.

Zusammenfassung

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.

Inhalt

• 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: Pearsons 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