psy110 - Research methods (Vollständige Modulbeschreibung)

Enrolment in Master's programme Neurocognitive Psychology.

Goals of module:
Students will acquire basic knowledge about the planning of an empirical investigation, setting up computer-controlled experiments, multivariate statistical data analysis, and the interpretation, evaluation and synthesis of empirical results.
Competencies: Ability to analyse, and document, a complex data set in both an explorative manner and guided by hypotheses using appropriate computer programs;
competency to think analytically and to critically reflect diverse methodological approaches.

Part 1: Multivariate Statistics I
• Basic concepts of probability, statistical inference, graphical representation of data
• Linear regression (simple and multiple) and analysis of variance
• Logistic regression, multivariate t-test
Part 2: Evaluation research
• Methods and paradigms of evaluation
• Multidimensional Scaling and cluster analysis
• Decision making, meta-analysis
Part 3: Computer-controlled experimentation
• Computer hardware basics
• Scripting and programming in Presentation
• Combining stimulus delivery with EEG
• Temporal precision
Part 4: Multivariate Statistics II
• Principal component analysis and factor analysis
• Classification and discrimination
• Survival analysis
• Advanced methods (e.g., Bayesian estimation, ICA, machine learning)

The module will be offered every winter term and lasts two semesters.