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.
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.
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.
Inhaltsangabe
* 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
* 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
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