This course delves into advanced statistical methods essential for psychological research, with a focus on practical applications and critical interpretation. The course builds on foundational statistics knowledge, expanding into more complex analyses like regression, ANOVA, multilevel modeling, and structural equation modeling. Throughout, students will learn to manage data, select appropriate statistical tests, interpret results in context, and convey findings clearly.
Through a blend of lectures, practical assignments, and discussions, students will gain the skills to approach psychological data with confidence and rigor. Each week introduces core techniques, guiding students from exploratory data analysis and hypothesis testing to advanced modeling and longitudinal data analysis. Special attention is given to understanding the assumptions underlying statistical methods, the ethical considerations in data handling, and the importance of effect size and reproducibility in psychological research.
By the end of the course, students will be equipped to apply statistical methods to real psychological datasets, articulate their methodological choices, and interpret their findings with a critical, research-informed perspective.