Autor: Anna-Lena Schubert

Neue Veröffentlichung zu aktuellen Entwicklungen in der EEG-Forschung zu Intelligenzunterschieden

In der Zeitschrift Intelligence ist ein neuer Artikel von Matt Euler und Anna-Lena Schubert erschienen, in dem sie aktuelle Entwicklungen der EEG-Forschung zu Intelligenzunterschieden diskutieren und offene Forschungsfragen identifizieren:

Euler, M. J., & Schubert, A.-L. (2021). Recent developments, current challenges, and future directions in electrophysiological approaches to studying intelligence. Intelligence, 88, 101569. https://doi.org/10.1016/j.intell.2021.101569

Abstract: EEG studies represent an important sub-discipline in the field of intelligence research and have significant potential to advance the theoretical understanding and practical applications of the construct. This commentary reviews key themes and major developments in the field from the last several decades, and outlines open questions and future directions for the next phase of research. Two main areas of progress in recent years relate to (1) improvements in study design and psychometric approaches, and (2) increased integration with cognitive psychology and neuroscience. In turn, these advances have clarified several themes and pressing issues. These include: The need to establish the replicability and effect sizes of key effects, the need to explicitly attend to the distinction between trait- and task-related sources of variance in correlations between intelligence and EEG variables, the need to systematically identify and test moderators of those relationships, the need for greater use of formal modeling at the level of measurement and theory, and the need for continued integration of theoretical advances from related disciplines. We argue that an increased focus on these issues can yield rapid progress in this area over the coming years. The commentary concludes with suggestions for both immediate priorities and long-term directions in basic and applied EEG research on intelligence.

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Neue Doktorandin Meike Steinhilber

Wir begrüßen Meike Steinhilber als neue Doktorandin in der Abteilung für Analyse und Modellierung komplexer Daten. Meike Steinhilber hat Psychologie an der Universität Heidelberg studiert und wird sich im Rahmen des von der Carl-Zeiss-Stiftung geförderten Verbundprojekts SMART-AGE mit der Konzeptionierung und Modellierung des komplexen multivariaten Mehrebenendatenkörpers beschäftigen.

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Neue Veröffentlichung im Journal of Cognition

Im Journal of Cognition ist ein neuer Artikel aus der Arbeitsgruppe erschienen:

Jungeblut, H. M., Hagemann, D., Löffler, C., & Schubert, A.-L. (2021). An Investigation of the Slope Parameters of Reaction Times and P3 Latencies in the Sternberg Memory Scanning Task – A Fixed-Links Model Approach. Journal of Cognition, 4(1), 26. https://doi.org/10.5334/joc.158

Abstract: The speed of short-term memory scanning is thought to be captured in the slope of the linear function of mean reaction times (RTs) regressed on set size in the Sternberg memory scanning task (SMST). Individual differences in the slope parameter have been hypothesized to correlate with general intelligence (g). However, this correlation can usually not be found. This present study chose a fixed-links model (FLM) approach to re-evaluate the RT slope parameter on a latent level in a sample of 102 participants aged 18 to 61 years who completed the SMST with set sizes 1, 3, and 5. The same was tried for P3 latencies to investigate whether or not both parameters measure the same cognitive processes in the SMST, and to assess the usability of both slopes to predict g. For RTs, a linear increase with set size was found. The slope of mean RTs correlated with g on a manifest level already. The FLM approach could better reveal this relationship with the correlation between the slope and g being substantially higher. For P3 latencies, we found no evidence for a linear increase, but a general increase from the smallest set size to the two larger ones. This indicates that RTs and P3 latencies do not measure the same cognitive processes in the SMST. The FLM proved suitable to investigate the association between the speed of short-term memory scanning and intelligence.

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