'Statistics Without Maths for Psychology' provides an accessible description of key statistical concepts and techniques needed by psychology students, avoiding as much maths as possible.
1. Variables and research design -- 2. Introduction to SPSS for Statistics -- 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: one-factor ANOVA -- 11. Analysis of variance with more than one IV -- 12. Regression analysis -- 13. Analysis of three of 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 SPSSFW exercies -- Appendix 1: Table of z-scores and the proportion of the standart normal distribution falling above and below each score -- Appendix 2: Table r to zr -- Index.