Garrido, D., Carballo, G., Artis, J., & Garcia-Retamero, R. (2018). Timing of parents' concerns related to autism spectrum disorder and its diagnosis: A mediation analysis. The Spanish Journal of Psychology, 21, Article e59. https://doi.org/10.1017/sjp.2018.64

Ghisletta, P., Joly-Burra, E., Aichele, S., Lindenberger, U., & Schmiedek, F. (2018). Age differences in day-to-day speed-accuracy tradeoffs: Results from the COGITO study. Multivariate Behavioral Research, 53(6), 842–852. https://doi.org/10.1080/00273171.2018.1463194

Gigerenzer, G. (2018). Statistical rituals: The replication delusion and how we got there. Advances in Methods and Practices in Psychological Science, 1(2), 198–218. https://doi.org/10.1177/2515245918771329

Gigerenzer, G. (2018). The bias bias in behavioral economics. Review of Behavioral Economics, 5(3-4), 303–336. https://doi.org/10.1561/105.00000092

Gigerenzer, G., Rebitschek, F. G., & Wagner, G. G. (2018). Eine vermessene Gesellschaft braucht Transparenz. Wirtschaftsdienst, 98(12), 860–866. https://doi.org/10.1007/s10273-018-2378-4

Glassen, T. J., von Oertzen, T., & Konovalov, D. A. (2018). Finding the mean in a partition distribution. BMC Bioinformatics, 19, Article 375. https://doi.org/10.1186/s12859-018-2359-z

Hadar, L., Danziger, S., & Hertwig, R. (2018). The attraction effect in experience-based decisions. Journal of Behavioral Decision Making, 31(3), 461–468. https://doi.org/10.1002/bdm.2058

Haksöz, Ç., Katsikopoulos, K., & Gigerenzer, G. (2018). Less can be more: How to make operations more flexible and robust with fewer resources. Chaos, 28, Article 063102. https://doi.org/10.1063/1.5024259

Halliday, D. W., Mulligan, B. P., Garrett, D. D., Schmidt, S., Hundza, S. R., Garcia-Barrera, M., Stawski, R. S., & MacDonald, S. W. S. (2018). Mean and variability in functional brain activations differentially predict executive function in older adults: An investigation employing functional near-infrared spectroscopy. Neurophotonics, 5(1), Article 011013. https://doi.org/10.1117/1.NPh.5.1.011013

Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO Study. Multivariate Behavioral Research, 53(6), 820–841. https://doi.org/10.1080/00273171.2018.1446819

Hämmerer, D., Callaghan, M. F., Hopkins, A., Kosciessa, J., Betts, M., Cardenas-Blanco, A., Kanowski, M., Weiskopf, N., Dayan, P., Dolan, R. J., & Düzel, E. (2018). Locus coeruleus integrity in old age is selectively related to memories linked with salient negative events. Proceedings of the National Academy of Sciences of the United States of America, 115(9), 2228–2233. https://doi.org/10.1073/pnas.1712268115

Hertwig, R., Hogarth, R. M., & Lejarraga, T. (2018). Experience and description: Exploring two paths to knowledge. Current Directions in Psychological Science, 27(2), 123–128. https://doi.org/10.1177/0963721417740645

Hertwig, R., & Pleskac, T. J. (2018). The construct-behavior gap and the description-experience gap: Comment on Regenwetter and Robinson (2017). Psychological Review, 125(5), 844–849. https://doi.org/10.1037/rev0000121

Hertzog, C., Hülür, G., Gerstorf, D., & Pearman, A. M. (2018). Is subjective memory change in old age based on accurate monitoring of age-related memory change? Evidence from two longitudinal studies. Psychology and Aging, 33(2), 273–287. https://doi.org/10.1037/pag0000232

Herzog, S. M., & von Helversen, B. (2018). Strategy selection versus strategy blending: A predictive perspective on single- and multi-strategy accounts in multiple-cue estimation. Journal of Behavioral Decision Making, 31(2), 233–249. https://doi.org/10.1002/bdm.1958

Heß, M., von Scheve , C., Schupp, J., Wagner, A., & Wagner, G. G. (2018). Are political representatives more risk-loving than the electorate? Evidence from German federal and state parliaments. Palgrave Communications, 4, Article 60. https://doi.org/10.1057/s41599-018-0112-x

Hill, W. D., Arslan, R. C., Xia, C., Luciano, M., Amador, C., Navarro, P., Hayward, C., Nagy, R., Porteous, D. J., McIntosh, A. M., Deary, I. J., Haley, C. S., & Penke, L. (2018). Genomic analysis of family data reveals additional genetic effects on intelligence and personality. Molecular Psychiatry, 23(12), 2347–2362. https://doi.org/10.1038/s41380-017-0005-1

Jarecki, J. B., Meder, B., & Nelson, J. D. (2018). Naïve and robust: Class-conditional independence in human classification learning. Cognitive Science, 42(1), 4–42. https://doi.org/10.1111/cogs.12496

Jeganathan, J., Perry, A., Bassett, D. S., Roberts, G., Mitchell, P. B., & Breakspear, M. (2018). Fronto-limbic dysconnectivity leads to impaired brain network controllability in young people with bipolar disorder and those at high genetic risk. NeuroImage: Clinical, 19, 71–81. https://doi.org/10.1016/j.nicl.2018.03.032

Jenny, M. A., Keller, N., & Gigerenzer, G. (2018). Assessing minimal medical statistical literacy using the Quick Risk Test: A prospective observational study in Germany. BMJ Open, 8, Article e020847. https://doi.org/10.1136/bmjopen-2017-020847