Search results
Results: 41
Number of items: 41
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Kan, K.-J., van der Maas, H. L. J., & Levine, S. Z. (2019). Extending psychometric network analysis: Empirical evidence against g in favor of mutualism? Intelligence, 73, 52-62. https://doi.org/10.1016/j.intell.2018.12.004 -
Waaktaar, T., Kan, K. J., & Torgersen, S. (2018). The genetic and environmental architecture of substance use development from early adolescence into young adulthood: A longitudinal twin study of comorbidity of alcohol, tobacco and illicit drug use . Addiction, 113(4), 740-748. https://doi.org/10.1111/add.14076
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Hägg, S., Zhan, Y., Karlsson, R., Gerritsen, L., Ploner, A., van der Lee, S. J., Broer, L., Deelen, J., Marioni, R. E., Wong, A., Lundquist, A., Hansell, N. K., Zhu, G., Sillanpää, E., Fedko, I. O., Amin, N. A., Beekman, M., de Craen, A. J. M., Degerman, S., ... ENGAGE Consortium (2017). Short telomere length is associated with impaired cognitive performance in European ancestry cohorts. Translational Psychiatry, 7, Article e1100. https://doi.org/10.1038/tp.2017.73
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van der Maas, H. L. J., Kan, K.-J., Marsman, M., & Stevenson, C. E. (2017). Network Models for Cognitive Development and Intelligence. Journal of Intelligence, 5(2), Article 16. https://doi.org/10.3390/jintelligence5020016
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Mackey, S., Chaarani, B., Kan, K.-J., Spechler, P. A., Orr, C., Banaschewski, T., Barker, G., Bokde, A. L. W., Bromberg, U., Büchel, C., Cattrell, A., Conrod, P. J., Desrivières, S., Flor, H., Frouin, V., Gallinat, J., Gowland, P., Heinz, A., Itterman, B., ... The IMAGEN Consortium (2017). Brain regions related to impulsivity mediate the effects of early adversity on antisocial behavior. Biological Psychiatry, 82(4), 275-282. https://doi.org/10.1016/j.biopsych.2015.12.027
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van der Maas, H. L. J., & Kan, K. J. (2016). Comment on “Residual group-level factor associations: Possibly negative implications for the mutualism theory of general intelligence” by Gilles E. Gignac (2016). Intelligence, 57, 81-83. https://doi.org/10.1016/j.intell.2016.03.008
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Kan, K.-J., van der Maas, H. L. J., & Kievit, R. A. (2016). Process Overlap Theory: Strengths, Limitations, and Challenges. Psychological Inquiry, 27(3), 220-228. https://doi.org/10.1080/1047840X.2016.1182000
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Mackey, S., Kan, K.-J., Chaarani, B., Alia-Klein, N., Batalla, A., Brooks, S., Cousijn, J., Dagher, D., de Ruiter, M., Desrivieres, S., Feldstein Ewing, S. W., Goldstein, R. Z., Goudriaan, A. E., Heitzeg, M. M., Hutchison, K., Li, C. S. R., London, E. D., Lorenzetti, V., Luijten, M., ... Conrod, P. (2016). Genetic imaging consortium for addiction medicine: From neuroimaging to genes. In H. Ekhtiari, & M. Paulus (Eds.), Neuroscience for addiction medicine: from prevention to rehabilitation : methods and interventions (pp. 203-223). (Progress in Brain Research; Vol. 224). Elsevier. https://doi.org/10.1016/bs.pbr.2015.07.026
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Raijmakers, M. E. J., Kan, K. J., Ploeger, A., & van der Maas, H. L. J. (2014). Nonlinear epigenetic variance in developmental processes. In P. C. M. Molenaar, R. M. Lerner, & K. M. Newell (Eds.), Handbook of developmental systems theory and methodology (pp. 171-187). Guilford Press. http://www.tweelingenregister.org/nederlands/verslaggeving/NTR-publicaties_2013/Raijmakers_chapter7_2013.pdf
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