Ruprecht-Karls-Universitaet Heidelberg

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Scientific Network grant

We acquired a grant in cooperation with the Leibniz Research Centre for Working Environment and Human Factors Dortmund and the University of Zurich for a scientific network on "Neurocognitive Psychometrics" (funded by the DFG)

Project grant awarded to Anna-Lena Schubert

"Neurocognitive psychometrics of individual differences in attentional processes in working memory" (funded by the elite programme for postdocs of the Baden-Württemberg Foundation)

Recent Publications

Schubert, A.-L., Hagemann, D., Löffler, C., Rummel, J. & Arnau, S. (2020). A chronometric model of the relationship between frontal midline theta functional connectivity and human intelligence. Journal of Experimental Psychology: General. Advanced online publication. doi: 10.1037/xge0000865
Arnau, S., Löffler, C., Rummel, J., Hagemann, D., Wascher, D. & Schubert, A.-L. (2020). The Electrophysiological Signature of Mind Wandering. Psychophysiology. Advanced online publication. doi: 10.1111/psyp.13581
Lerche, V., von Krause, M., Voss, A., Frischkorn, G. T., Schubert, A.-L. & Hagemann, D. (2020). Diffusion Modeling and Intelligence: Drift Rates Show Both Domain-General and Domain-Specific Relations With Intelligence. Journal of Experimental Psychology: General. Advanced online publication. doi: 10.1037/xge0000774

Research Topics

Assessing the relationship between mental speed and general intelligence on a neuro-cognitive level

In this project we investigate whether individual differences in mental speed give rise to individual differences in general intelligence. For this purpose, we expand the measurement of mental speed beyond the measurement of response times by using mathematical models of response times and event-related potentials (ERPs). We study if mental speed can be considered a property of the person that is stable over time. Moreover, we investigate the factor structure of mental speed, i.e. we analyze how strongly a general mental speed factor influences mental speed in a variety of paradigms. Finally, we analyze which components in the stream of information processing (e.g., the speed of encoding, the speed of memory access, the speed of decision making, the speed of motor responses) are most strongly related to general intelligence by decomposing the stream of information processing with diffusion models and ERPs.

Related publications:
Frischkorn, G. T., Schubert, A.-L., Neubauer, A. B., Hagemann, D. (2016) The Worst Performance Rule as Moderation: New Methods for Worst Performance Analysis. Journal of Intelligence, 4, 9. doi:10.3390/jintelligence4030009. (PDF)
Schubert, A.-L., Hagemann, D., Voss, A., Schankin, A., & Bergmann, K. (2015). Decomposing the Relationship between Mental Speed and Mental Abilities. Intelligence, 51, 28-46. doi:10.1016/j.intell.2015.05.002

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Editor: Anna-Lena Schubert
Last Change: 28.07.2016