In this course we will go together over a set of data from a fairly standard behavioural experiment in human cognition research, trying to extract reliable inferences from it. In doing this, we'll go over a number of basic and not-so-basic statistical issues, which includes graphical data exploration, data manipulation (e.g., standardisation, centering), regression, mixed-effect modelling, predictor collinearity, non linearity, and (perhaps) bootstrap.
