Visualizing exploratory factor analysis models

Exploratory factor analysis (EFA) is an important tool in data analyses,particularly in social science. Usually four steps are carried out which contain alarge number of options. One important option is the number of factors and theassociation of variables with a factor. Our tools aim to visualize various modelswith different numbers in parallel of factors and to analyze which consequences aspecific option has.We apply our method to data collected at the School of Business and Economics for evaluation of lectures by students. These data were analyzed by Zhou (2004) and Reichelt (2007).