A critical component in the training of graduate students in psychology is research methods and statistics. The psychology department of NSSR has long offered courses in both these areas, and the present course aims at providing a bridge course, which focuses on the relationship between the design of an empirical study (correlational, quasi-experimental, experimental, etc.), and the data analytical techniques that can be used to extract valuable information from the data so collected. In the course we start from students' research questions and possible datasets, and we discuss the appropriate course of action in terms of data preparation (e.g. checking for distributions and data-transformation, identifying univariate and multivariate outliers) and the specific statistical techniques to be used. In case data from students is available, we will use them to conduct the analyses, so that students have the added benefit of having an in-depth analysis of their research data. If not, we will use data sets that mirror what students may collect in their own research. Analyses will be done with the aid of SAS, which is a powerful and flexible statistical package. Therefore the first few seminars will be devoted to learn its jargon.