Center for Cognitive Science


October 29, 2021

Welcome Meeting

November 5, 2021

Method: Event history analysis & micro-level SAT analysis

Speaker: Sven Panis (University of Kaiserslautern)

To avoid the problem of model mimicry when testing different models of the same psychological phenomenon, and to more easily relate behavior to ongoing neural changes, it is crucial to have a diagnostic longitudinal description of behavior. An established method to statistically describe and model time-to event (e.g., response times, saccade latencies, fixation durations, etc.) is event history analysis, a.k.a. survival analysis, duration analysis, failure-time analysis, transition analysis, and hazard analysis. The hazard function of event occurrence optimally describes whether and when events occur. For discrimination data, the hazard analysis can be extended with a micro-level speed-accuracy tradeoff analysis. After discussing how to set up a life table and calculate the descriptive statistics in discrete time, I will illustrate how people behave longitudinally in various popular paradigms (visual search, masked priming, exogenous cueing, 2-rectangle paradigm, flanker paradigm, global/local matching, manual stroop task, combined Simon/Stroop task) and discuss commonly emerging processing principles (overt response priming due to task-irrelevant information, time-locking of effects to stimuli when manipulating SOA, reactive control in the form of active and selective response suppression).

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November 19, 2021

Method: An Introduction to Structural Equation Modeling (SEM)

Speaker: Christoph Giehl (University of Kaiserslautern)

In this overviewing lecture the basics and principles of SEM are presented. The aim is to provide a basic understanding of the process so that results can be interpreted correctly. Topics such as maximum likelihood estimation, the specification of models using (matrix-)algebra, the logic of latent variable models and the logic of path modeling are dealt with.

December 3, 2021

Method: Virtual Reality

Speakers: Omar Jurban & Felix Hekele (University of Kaiserslautern)

Advances and easier accessibility of virtual reality (VR) technology are opening up new opportunities for researchers to conduct laboratory experiments under more ecologically valid yet controlled conditions. In our talk we would like to introduce different methods of using VR to conduct experiments. We present preliminary results from different studies and try to illustrate that VR can be a viable medium for conducting psychological experiments. Lastly we will discuss the possibility of using VR controllers to replace keyboards in future experiments as well as give an overview over future VR prospects in the lab.

December 10, 2021

Method: Neural mechanisms of visual categorization

Speaker: Ann-Kathrin Beck (University of Kaiserslautern)

January 14, 2022

Method: Systematic Literature Review

Speaker: Réka Vagvoelgyi (University of Kaiserslautern)

January 21, 2022

Method: TBA

Speaker: Larissa Leist (University of Kaiserslautern)

January 28, 2022

Method: TBA

Speaker: Maria Meier (University of Konstanz)

February 4, 2022

Methods of Machine Learning

Speaker: Iuliia Brishtel (University of Kaiserslautern, DFKI Kaiserslautern)

Februrary 11, 2022

Method: Bayesian Statistics

Speaker: Tanja Könen (University of Landau)

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