Preprint (166)

2022
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Grossmann, I., Rotella, A., Hutcherson, C. A., Sharpinskyi, K., Varnum, M. E. W., Achter, S., Dhami, M. K., Guo, X. E., Kara-Yakoubian, M., Mandel, D. R., Raes, L., Tay, L., Vie, A., Wagner, L., Adamkovic, M., Arami, A., Arriaga, P., Bandara, K., Baník, G., Bartoš, F., Baskin, E., Bergmeir, C., Białek, M., Børsting, C. K., Browne, D. T., Caruso, E. M., Chen, R., Chie, B.-T., Chopik, W. J., Collins, R. N., Cong, C. W., Conway, L. G., Davis, M., Day, M. V., Dhaliwal, N. A., Durham, J. D., Dziekan, M., Elbaek, C. T., Shuman, E., Fabrykant, M., Firat, M., Fong, G. T., Frimer, J. A., Gallegos, J. M., Goldberg, S. B., Gollwitzer, A., Goyal, J., Graf-Vlachy, L., Gronlund, S. D., Hafenbrädl, S., Hartanto, A., Hirshberg, M. J., Hornsey, M. J., Howe, P. D. L., Izadi, A., Jaeger, B., Kačmár, P., Kim, Y. J., Krenzler, R., Lannin, D. G., Lin, H.-W., Lou, N. M., Lua, V. Y. Q., Lukaszewski, A. W., Ly, A. L., Madan, C. R., Maier, M., Majeed, N. M., March, D. S., Marsh, A. A., Misiak, M., Myrseth, K. O. R., Napan, J. M., Nicholas, J., Nikolopoulos, K., O, J., Otterbring, T., Paruzel-Czachura, M., Pauer, S., Protzko, J., Raffaelli, Q., Ropovik, I., Ross, R. M., Roth, Y., Røysamb, E., Schnabel, L., Schütz, A., Seifert, M., Sevincer, A. T., Sherman, G. T., Simonsson, O., Sung, M.-C., Tai, C.-C., Talhelm, T., Teachman, B. A., Tetlock, P. E., Thomakos, D., Tse, D. C. K., Twardus, O. J., Tybur, J. M., Ungar, L., Vandermeulen, D., Williams, L. V., Vosgerichian, H. A., Wang, Q., Wang, K., Whiting, M. E., Wollbrant, C. E., Yang, T., Yogeeswaran, K., Yoon, S., Alves, V. r., Andrews-Hanna, J. R., Bloom, P. A., Boyles, A., Charis, L., Choi, M., Darling-Hammond, S., Ferguson, Z. E., Kaiser, C. R., Karg, S. T., Ortega, A. L., Mahoney, L., Marsh, M. S., Martinie, M. F. R. C., Michaels, E. K., Millroth, P., Naqvi, J. B., Ng, W., Rutledge, R. B., Slattery, P., Smiley, A. H., Strijbis, O., Sznycer, D., Tsukayama, E., van Loon, A., Voelkel, J. G., Wienk, M. N. A., Wilkening, T., & The Forecasting Collaborative. (2022). Insights into accuracy of social scientists' forecasts of societal change. PsyArXiv, September 12, 2022. https://doi.org/10.31234/osf.io/wdxsb
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Hong, I., Ferreira, L. N., Rutherford, A., & Cebrian, M. (2022). Assessing the epidemic impact of protests during the COVID-19 pandemic. MedRxiv, October 14, 2022. https://doi.org/10.1101/2022.10.10.22280896
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Kerrén, C., Linde-Domingo, J., & Spitzer, B. (2022). Prioritization of semantic over visuo-perceptual aspects in multi-item working memory. BioRxiv, July 1, 2022. https://doi.org/10.1101/2022.06.29.498168
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Köbis, N., Dorrough, A., Irlenbusch, B., Shalvi, S., & Gloeckner, A. (2022). Bribery across nations. Research Square, May 25, 2022. https://doi.org/10.21203/rs.3.rs-1690288/v1
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Köbis, N., Oded, S., de Bruijn, A. L., Huang, S., & van Rooij, B. (2022). Is less more? Field evidence on the impact of anti-bribery policies on employee knowledge and corrupt behavior. SSRN eLibrary, October 21, 2022. https://doi.org/10.2139/ssrn.4255148
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Koch, C., Zika, O., & Schuck, N. W. (2022). Influence of surprise on reinforcement learning in younger and older adults. PsyArXiv, December 2, 2022. https://doi.org/10.31234/osf.io/unx5y
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Kordsmeyer, T. L., Freund, D., Ueshima, A., Kuroda, K., Kameda, T., & Penke, L. (2022). Halo effect of faces and bodies: Cross-cultural similarities and differences between German and Japanese observers. PsyArXiv, June 2, 2022. https://doi.org/10.31234/osf.io/j23ny
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Kugler, D., & Kühn, S. (2022). No effect of ego depletion on cognitive control and implicit aggression. PsyArXiv, March 11, 2022. https://doi.org/10.31234/osf.io/j3qra
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Lalwani, P., Polk, T. A., & Garrett, D. D. (2022). Modulation of neural variability: Age-related reduction, GABAergic basis, and behavioral implications. BioRxiv, September 17, 2022. https://doi.org/10.1101/2022.09.14.507785
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Lange, J., Köbis, N., & Herrmann, C. (2022). A systematic literature review and integrative framework on the link between emotions and corruption. OSF Preprints, June 15, 2022. https://doi.org/10.31219/osf.io/8uzkf
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Lifanov, J., Griffiths, B. J., Linde-Domingo, J., Ferreira, C. S., Wilson, M., Mayhew, S. D., Charest, I., & Wimber, M. (2022). Reconstructing satio-temporal trajectories of visual object memories in the human brain. BioRxiv, December 15, 2022. https://doi.org/10.1101/2022.12.15.520591
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Liu, Y., Bagaïni, A., Son, G., Kapoor, M., & Mata, R. (2022). Adult age differences in risk-taking propensity are universal but show considerable heterogeneity across domains and populations. PsyArXiv, April 28, 2022. https://doi.org/10.31234/osf.io/9jyxv
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Müller, T. F., Brinkmann, L., Winters, J., & Pescetelli, N. (2022). Machine impostors avoid human detection by interrupting the formation of stable conventions: A minimal turing test. PsyArXiv, April 28, 2022. https://doi.org/10.31234/osf.io/x2yf7
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Rioux, C., Russell, C. J. S., & Wertz, A. E. (2022). Managing costly generalisation errors in the food domain. PsyArXiv, July 2, 2022. https://doi.org/10.31234/osf.io/8d3za
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Rioux, C., Wertz, A. E., Rumiati, R. I., & Coricelli, C. (2022). FEED your mind: The evolutionary roots of human food cognition. PsyArXiv, December 19, 2022. https://doi.org/10.31234/osf.io/kb3s7
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Said, N., Fischer, H., Buder, J., & Huff, M. (2022). Believing in a political media dictate is associated with Covid-19-related beliefs, media usage, and health behaviors. PsyArXiv, May 20, 2022. https://doi.org/10.31234/osf.io/bzcnj
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Santos, L. B. L., Carvalho, L. M., Soares, G. G., Ferreira, L. N., & Sokolov, I. M. (2022). Beyond the shortest path: The path length index as a distribution. arXiv, 2210.03216.
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Snijders, L., Krause, S., Tump, A. N., Breuker, M., Ramnarine, I. W., Kurvers, R., & Krause, J. (2022). Ephemeral resource availability makes wild guppies more social. BioRxiv, May 20, 2022. https://doi.org/10.1101/2022.05.20.492799
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Stinson, C., Kagan, I., & Pooresmaeili, A. (2022). Egocentric bias in effort comparison tasks is driven by sensory asymmetries, not attribution bias. BioRxiv, August 15, 2022. https://doi.org/10.1101/2022.08.12.503607
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von Schenk, A., Klockmann, V., Bonnefon, J.-F., Rahwan, I., & Köbis, N. (2022). Lie detection algorithms attract few users but vastly increase accusation rates. arXiv, December 8, 2022. https://doi.org/10.48550/arXiv.2212.04277
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