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Department of Psychology Psychological Methods, Evaluation and Statistics

Research

The chair for Psychological Methods, Evaluation, and Statistics conducts methodological research at the intersection of statistics, psychometrics and machine learning. 

For example, we develop methods for detecting parameter differences in psychometric models, because these can violate the fairness or psychological tests. Some of these methods are based on classical, parametric statistics, others on approaches from machine learning.

In machine learning, we develop methods for assessing stability and for measuring and interpreting the contributions of predictor variables in a reliable way. These topics are also relevant to some of our work in psychometric computing.

In all research areas we contribute to the development of add-on packages for the free open-source software R. These R packages are listed below.

Forschung

 

Psychometrics

Psychometric Computing

Machine Learning

psychotools
psychomix
mstDIF

psychotree
irtpwr

party
permimp
stablelearner
mlpwr