Knowledge and Understanding
The course provides students with foundational and advanced knowledge in psychometrics and statistical methods in psychology, including measurement properties, hypothesis testing, regression, ANOVA, and factor analysis. Students also gain theoretical insights into data dimensionality and psychometric principles, as well as basic knowledge of a Bayesian vs. a Frequentist statistical approach.

Applying Knowledge and Understanding
Students learn to apply statistical methods using real and simulated psychological data, including the selection and implementation of techniques appropriate to various research designs. Through laboratory sessions, students gain hands-on experience with R, whereas during lectures, they will be assigned exercises using Jamovi, allowing them to analyze data and interpret empirical results.

Making Judgements
Students develop critical thinking skills necessary to evaluate the adequacy of psychological measures, assess statistical assumptions, and select suitable analytic methods. They also learn to interpret findings in the context of psychological theories and empirical evidence.

Communication
The course fosters the ability to clearly report and discuss statistical findings through open-ended assessment questions and laboratory reporting. Emphasis is placed on explaining complex analyses and results in understandable terms.

Learning Skills
By engaging with practical data analysis tasks, basic literature, and interactive lectures, students enhance their capacity for autonomous learning. The course supports the development of skills necessary for an independent application of statistical methods and software in future research or professional contexts.