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Full Description
For students who need to understand and use statistics but find the mathematical formulae daunting, Statistics without Maths for Psychology is the ideal guide. The clear, straightforward style and step-by-step SPSS walkthroughs take you through all the statistical procedures you will need. Activities and questions enable you to test your learning and increase your understanding in a practical, manageable way."This is a clearly written and beautifully presented text. The style is ideal for those who are new or nervous about statistics, as it supports their understanding in a friendly and easy to follow way."Dr Jennifer Murray, Edinburgh Napier University"In teaching statistics to undergraduates for a number of years, I have found this textbook provides an accessible yet sophisticated grounding in conceptual and practical aspects of quantitative psychology. I recommend it without reservation."Professor Richard Rowe, University of SheffieldStatistics without Maths for Psychology can also be packaged with MyResearchLab, an online resource covering key qualitative and quantitative research topics, packed with interactive digital learning tools, testing facilities and robust feedback for both students and teachers.To find out more about this exciting and powerful new resource or to request your free trial access, please contact your Pearson representative.Students:You need both an access card and a course ID to access MyResearchLab.1. Is your lecturer using MyResearchLab? Ask your lecturer for your course ID. 2. If you have a course ID but no access code, please go to www.myresearchlab.co.uk to buy access to this interactive online study resource.
Contents
1 Variables and research design2 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 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
