Molleman, L., & Gächter, S. (2018). Societal background influences social learning in cooperative decision making. Evolution and Human Behavior, 39(5), 547–555. https://doi.org/10.1016/j.evolhumbehav.2018.05.007

Möller, J., Fleckenstein, J., Hohenstein, F., Preusler, S., Paulick, I., & Baumert, J. (2018). Varianten und Effekte bilingualen Lernens in der Schule. Zeitschrift für Erziehungswissenschaft, 21(1), 4–28. https://doi.org/10.1007/s11618-017-0791-x

Möller, J., Fleckenstein, J., Preusler, S., Paulick, I., & Baumert, J. (2018). Editorial. Zeitschrift für Erziehungswissenschaft, 21(1), 1–3. https://doi.org/10.1007/s11618-017-0805-8

Morais, A. S., & Hariskos, W. (2018). Academic coaching and decision analysis: Ways of deciding whether to pursue an academic career. PLoS ONE, 13(11), Article e0206961. https://doi.org/10.1371/journal.pone.0206961

Motsch, S., Moussaïd, M., Guillot, E. G., Moreau, M., Pettré, J., Theraulaz, G., Appert-Rolland, C., & Degond, P. (2018). Modeling crowd dynamics through coarse-grained data analysis. Mathematical Biosciences and Engineering, 15(6), 1271–1290. https://doi.org/10.3934/mbe.2018059

Moussaïd, M., Campero, A. N., & Almaatouq, A. (2018). Dynamical networks of influence in small group discussions. PLoS ONE, 13(1), Article e0190541. https://doi.org/10.1371/journal.pone.0190541

Moussaïd, M., Schinazi, V. R., Kapadia, M., & Thrash, T. (2018). Virtual sensing and virtual reality: How new technologies can boost research on crowd dynamics. Frontiers in Robotics and AI, 5, Article 82. https://doi.org/10.3389/frobt.2018.00082

Mueller, S., Wagner, J., Voelkle, M. C., Smith, J., & Gerstorf, D. (2018). The interplay of personality and functional health in old and very old age: Dynamic within-person interrelations across up to 13 years. Journal of Personality and Social Psychology, 115(6), 1127–1147. https://doi.org/10.1037/pspp0000173

Mühlbauer, V., Prinz, R., Mühlhauser, I., & Wegwarth, O. (2018). Alternative package leaflets improve people's understanding of drug side effects - A randomized controlled exploratory survey. PLoS ONE, 13(9), Article e0203800. https://doi.org/10.1371/journal.pone.0203800

Müller, V., Delius, J. A. M., & Lindenberger, U. (2018). Complex networks emerging during choir singing. Annals of the New York Academy of Sciences, 1431(1), 85–101. https://doi.org/10.1111/nyas.13940

Müller, V., Sänger, J., & Lindenberger, U. (2018). Hyperbrain network properties of guitarists playing in quartet. Annals of the New York Academy of Sciences, 1423(1), 198–210. https://doi.org/10.1111/nyas.13656

Nix, S., & Schoof, K. (2018). Spitzenservice für Experten: Spezialbibliotheken im digitalen Zeitalter. Politik & Kultur, 4, 7.

Notthoff, N., Drewelies, J., Kazanecka, P., Steinhagen-Thiessen, E., Norman, K., Düzel, S., Daumer, M., Lindenberger, U., Demuth, I., & Gerstorf, D. (2018). Feeling older, walking slower - but only if someone's watching: Subjective age is associated with walking speed in the laboratory, but not in real life. European Journal of Ageing, 15(4), 425–433. https://doi.org/10.1007/s10433-017-0450-3

O'Donnell, M., Nelson, L. D., Ackermann, E., Aczel, B., Akhtar, A., Aldrovandi, S., Alshaif, N., Andringa, R., Aveyard, M., Babincak, P., Balatekin, N., Baldwin, S. A., Banik, G., Baskin, E., Bell, R., Bialobrzeska, O., Birt, A. R., Boot, W. R., Braithwaite, S. R., Briggs, J. C., Buchner, A., Budd, D., Budzik, K., Bullens, L., Bulley, R. L., Cannon, P. R., Cantarero, K., Cesario, J., Chambers, S., Chartier, C. R., Chekroun, P., Chong, C., Cleeremans, A., Coary, S. P., Coulthard, J., Cramwinckel, F. M., Denson, T. F., Diaz-Lago, M., DiDonato, T. E., Drummond, A., Eberlen, J., Ebersbach, T., Edlund, J. E., Finnigan, K. M., Fisher, J., Frankowska, N., Garcia-Sanchez, E., Golom, F. D., Graves, A. J., Greenberg, K., Hanioti, M., Hansen, H. A., Harder, J. A., Harrell, E. R., Hartanto, A., Inzlicht, M., Johnson, D. J., Karpinski, A., Keller, V. N., Klein, O., Koppel, L., Krahmer, E., Lantian, A., Larson, M. J., Legal, J. B., Lucas, R. E., Lynott, D., Magaldino, C. M., Massar, K., McBee, M. T., McLatchie, N., Melia, N., Mensink, M. C., Mieth, L., Moore-Berg, S., Neeser, G., Newell, B. R., Noordewier, M. K., Ozdogru, A. A., Pantazi, M., Parzuchowski, M., Peters, K., Philipp, M. C., Pollmann, M. M. H., Rentzelas, P., Rodriguez-Bailon, R., Roer, J. P., Ropovik, I., Roque, N. A., Rueda, C., Rutjens, B. T., Sackett, K., Salamon, J., Sanchez-Rodriguez, A., Saunders, B., Schaafsma, J., Schulte-Mecklenbeck, M., Shanks, D. R., Sherman, M. F., Steele, K. M., Steffens, N. K., Sun, J., Susa, K. J., Szaszi, B., Szollosi, A., Tamayo, R. M., Tinghog, G., Tong, Y. Y., Tweten, C., Vadillo, M. A., Valcarcel, D., Van der Linden, N., van Elk, M., van Harreveld, F., Vastfjall, D., Vazire, S., Verduyn, P., Williams, M. N., Willis, G. B., Wood, S. E., Yang, C. L., Zerhouni, O., Zheng, R., & Zrubka, M. (2018). Registered replication report: Dijksterhuis and van Knippenberg (1998). Perspectives on Psychological Science, 13(2), 268–294. https://doi.org/10.1177/1745691618755704

Okan, Y., Garcia-Retamero, R., Cokely, E. T., & Maldonado, A. (2018). Biasing and debiasing health decisions with bar graphs: Costs and benefits of graph literacy. Quarterly Journal of Experimental Psychology, 71(12), 2506–2519. https://doi.org/10.1177/1747021817744546

Olsen, S., & Boddice, R. (2018). Styling emotions history. Journal of Social History, 51(3), 476–487. https://doi.org/10.1093/jsh/shx067

Oud, J. H. L., Voelkle, M. C., & Driver, C. C. (2018). SEM-based CARMA time series models for arbitrary N. Multivariate Behavioral Research, 53(1), 36–56. https://doi.org/10.1080/00273171.2017.1383224

Oztop, P., Katsikopoulos, K., & Gummerum, M. (2018). Creativity through connectedness: The role of closeness and perspective taking in group creativity. Creativity Research Journal, 30(3), 266–275. https://doi.org/10.1080/10400419.2018.1488347

Pachur, T., Schulte-Mecklenbeck, M., Murphy, R. O., & Hertwig, R. (2018). Prospect theory reflects selective allocation of attention. Journal of Experimental Psychology: General, 147(2), 147–169. https://doi.org/10.1037/xge0000406

Pallares, V., Insabato, A., Sanjuan, A., Kühn, S., Mantini, D., Deco, G., & Gilson, M. (2018). Extracting orthogonal subject- and behavior-specific signatures from fMRI data using whole-brain effective connectivity. NeuroImage, 178, 238–254. https://doi.org/10.1016/j.neuroimage.2018.04.070