Zeitschriftenartikel (244)
2024
Zeitschriftenartikel
Herzog, S. M., , Zöller, N., , & Kurvers, R. H. J. M. (2024). Collective intelligence increases diagnostic accuracy in a general practice setting. Medical Decision Making, 44(4), 451–462. https://doi.org/10.1177/0272989X241241001
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Bolenz, F., & Pachur, T. (2024). Older adults select different but not simpler strategies than younger adults in risky choice. PLoS Computational Biology, 20(6), Article e1012204. https://doi.org/10.1371/journal.pcbi.1012204
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Rahwan, I., & (2024). The moral psychology of artificial intelligence. Annual Review of Psychology, 75, 653–675. https://doi.org/10.1146/annurev-psych-030123-113559
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Brandmaier, A. M., Ernst, M., & Peikert, A. (2024). Assessing rigor and impact of research software for hiring and promotion in psychology: A comment on Gärtner et al. (2022). Meta-Psychology, 8, Article MP.2023.3715. https://doi.org/10.15626/MP.2023.3715
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Brandmaier, A. M., Lindenberger, U., & (2024). Optimal two-time point longitudinal models for estimating individual-level change: Asymptotic insights and practical implications. Developmental Cognitive Neuroscience, 70, Article 101450. https://doi.org/10.1016/j.dcn.2024.101450
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Deffner, D. (2024). Risk-sensitive learning is a winning strategy for leading an urban invasion. eLife, 12, Article RP89315. https://doi.org/10.7554/eLife.89315.3
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Sander, M. C., Werkle-Bergner, M., , & (2024). Speaker competence affects prefrontal theta and occipital alpha power during selective word learning in preschoolers. Journal of Cognitive Neuroscience, 36(7), 1523–1540. https://doi.org/10.1162/jocn_a_02162
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Buchberger, E. S., Joechner, A.-K., Ngo, C. T., Lindenberger, U., & Werkle-Bergner, M. (2024). Age differences in generalization, memory specificity, and their overnight fate in childhood. Child Development, 95(4), e270–e286. https://doi.org/10.1111/cdev.14089
Zeitschriftenartikel
Buchberger, E. S., Ngo, C. T., Peikert, A., Brandmaier, A. M., & Werkle-Bergner, M. (2024). Estimating statistical power for structural equation models in developmental cognitive science: A tutorial in R. Behavior Research Methods, 56, 6862–6879. https://doi.org/10.3758/s13428-024-02396-2
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Kühn, S., , & (2024). Neural correlates of an illusionary sense of agency caused by virtual reality. Cerebral Cortex, 34(2), Article bhad547. https://doi.org/10.1093/cercor/bhad547
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Keresztes, A., , , Raz, N., , , , , , , , , , , & . (2024). A (sub)field guide to quality control in hippocampal subfield segmentation on high-resolution T2-weighted MRI. Human Brain Mapping, 45(15), Article e70004. https://doi.org/10.1002/hbm.70004
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Gigerenzer, G., , , , , , , , , , , Rahwan, I., , , , , , , , , , & (2024). The impact of generative artificial intelligence on socioeconomic inequalities and policy making. PNAS Nexus, 3(6), Article pgae191. https://doi.org/10.1093/pnasnexus/pgae191
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Allan, J. N., , & (2024). Numeracy does not polarize climate change judgments: Numerate people are more knowledgeable and knowledge is power. Decision, 11(2), 320–344. https://doi.org/10.1037/dec0000223
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Schmidt, E.-M., , & (2024). EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full‑body movement datasets. Behavior Research Methods, 56, 7498–7542. https://doi.org/10.3758/s13428-024-02433-0
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Schmidt, E.-M., , , & (2024). The dancer personality: Comparing dancers and non-dancers in Germany and Sweden. Personality and Individual Differences, 222, Article 112603. https://doi.org/10.1016/j.paid.2024.112603
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Clarmann von Clarenau, V., Appelhoff, S., Pachur, T., & Spitzer, B. (2024). Over- and underweighting of extreme values in decisions from sequential samples. Journal of Experimental Psychology: General, 153(3), 814–826. https://doi.org/10.1037/xge0001530
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Nelson, J. D. (2024). The wisdom of the coherent: Improving correspondence with coherence-weighted aggregation. Decision, 11(1), 60–85. https://doi.org/10.1037/dec0000211
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Lorenz-Spreen, P., & (2024). DeGroot-based opinion formation under a global steering mechanism. IEEE Transactions on Computational Social Systems, 11(3), 4040–4057. https://doi.org/10.1109/TCSS.2023.3330293
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Werner, T. (2024). What drives demand for loot boxes? An experimental study. Journal of Economic Behavior & Organization, 228, Article 106755. https://doi.org/10.1016/j.jebo.2024.106755
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