This course covers advanced statistical methods and procedures commonly used in experimental and non-experimental research in psychology. Topics include multiple regression and, at more advanced levels, mediating effect, interaction effect, factor analysis, path analysis, structural equation modeling, and hierarchical linear modeling. This course focuses on the application of these and other analytical procedures especially in non-experimental research.

CILO-1: Identify the key research questions and hypotheses each statistical method introduced can address. CILO-2: Identify the key assumptions of each statistical method introduced. CILO-3: Identify the key assumptions of each statistical method that are met in a dataset. CILO-4: Summarize and explain the main advantages and disadvantages of each statistical method introduced. CILO-5: Identify key results when using an assigned statistical method to analyse a dataset. CILO-6: Summarize and explain the main results of each statistical method introduced.