This course follows the course of “Statistics I” and its aim is twofold: first, to teach the statistical methodology applied in an important part of psychological research; second, to teach students the statistical software SPSS, thus enabling them to treat empirical psychological data by applying the statistical methods that had been taught in the courses of statistics. In this way, students acquire a more complete knowledge of the statistical methodology in the psychological research and become efficient in applying it when analyzing empirical data from this field.
Course Content (Syllabus)
Introduction to ANOVA. One-way analysis of variance, one-way analysis of variance with repeated measures, effect size, introduction to multiple comparisons, Scheffe’s test. Introduction to two-way ANOVA and the analysis of higher order experimental designs. Non-parametric statistical methods: Mann-Whitney U test, Sign test, Wilcoxon signed-rank test, Spearman’s rank-order correlation. Non-parametric analysis of variance: Kruskal-Wallis test, Friedman test, Cochran’s Q test, non-parametric tests for multiple comparisons. Reliability of measurements, methods of estimating reliability, Cronbach and Kuder-Richardson coefficients of internal consistency. Introduction to principal component analysis. Statistical data analysis using SPSS (in the computer lab).
ANOVA, non parametric methods, Non-parametric ANOVA, reliability, principal component analysis, SPSS