Making Sense of Statistics in Psychology: A Second-Level Course

TL;DR: In this article, the authors present graphical methods of displaying data one-way designs factorial designs repeated measure designs simple linear regression and multiple regression analysis log-linear models and logistics regression the generalised linear model distribution-free, computer-intensive models multivariate analysis I - principle components analysis and exploratory factor analysis multiivariate analysis II - confirmatory factor analyses and covariance structure modelling multivariate analyses III - cluster analysis, discriminant analysis, and multidimensional scaling the asssessment of reliability

Abstract: Data, models, and a little history graphical methods of displaying data one-way designs factorial designs repeated measure designs simple linear regression and multiple regression analysis log-linear models and logistics regression the generalised linear model distribution-free, computer-intensive models multivariate analysis I - principle components analysis and exploratory factor analysis multivariate analysis II - confirmatory factor analysis and covariance structure modelling multivariate analysis III - cluster analysis, discriminant analysis, and multidimensional scaling the asssessment of reliability