Highly praised for its clear, straightforward approach, Statistics without Maths for Psychology 8th edition provides a comprehensive and accessible introduction to statistics and SPSS. This widely used and trusted textbook is packed with examples, activities and questions to help you to test your learning and deepen your understanding in a practical and manageable way. Statistics without Maths for Psychology, 8e, will help you to gain the confidence to apply statistical concepts and use SPSS to analyse data within your studies and future independent research.
Highly praised for its clear, straightforward approach, Statistics without Maths for Psychology 8th edition provides a comprehensive and accessible introduction to statistics and SPSS. This widely used and trusted textbook is packed with examples, activities and questions to help you to test your learning and deepen your understanding in a practical and manageable way. Statistics without Maths for Psychology, 8e, will help you to gain the confidence to apply statistical concepts and use SPSS to analyse data within your studies and future independent research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Christine P. Dancey is Emeritus Professor of Psychology at the University of East London. John Reidy is Professor of Psychological Methods and Statistics and Head of Department for the Department of Psychology, Sociology and Politics at Sheffield Hallam University
Inhaltsangabe
* 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
* 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
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