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:

Neuropsychological / neurophysiological knowledge
interdisciplinary kowledge & thinking x
experimental methods
statistics & scientific programming xx
data presentation & discussion xx
independent research x
scientific literature x
scientific English / writing
ethics / good scientific practice / professional behavior x
critical & analytical thinking xx
scientific communication skills x
knowledge transfer
group work x
project & time management

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.