Search results
Results: 155
Number of items: 155
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Molenaar, D., van der Sluis, S., Boomsma, D. I., Haworth, C. M. A., Hewitt, J. K., Martin, N. G., Plomin, R., Wright, M. J., & Dolan, C. V. (2013). Genotype by environment interactions in cognitive ability: a survey of 14 studies from four countries covering four age groups. Behavior genetics, 43(3), 208-219. https://doi.org/10.1007/s10519-012-9581-7
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Franić, S., Dolan, C. V., Borsboom, D., Hudziak, J. J., van Beijsterveldt, C. E. M., & Boomsma, D. I. (2013). Can genetics help psychometrics? Improving dimensionality assessment through genetic factor modeling. Psychological Methods, 18(3), 406-433. https://doi.org/10.1037/a0032755
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Smits, I. A. M., Dolan, C. V., Vorst, H. C. M., Wicherts, J. M., & Timmerman, M. E. (2013). Data from ‘Cohort Differences in Big Five Personality Factors Over a Period of 25 Years’. Journal of Open Psychology Data, 1(1), Article e2. https://doi.org/10.5334/jopd.e2 -
Wicherts, J. M., Smits, I., Dolan, C., Vorst, H., & Timmerman, M. E. (2012, October 25). Cohort Differences in Big Five Personality Factors over a period of 25 years [Data set]. Data Archiving and Networked Services (DANS). https://doi.org/10.17026/dans-z5p-zedj
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van der Sluis, S., Posthuma, D., & Dolan, C. V. (2012). A note on false positives and power in G x E modelling of twin data. Behavior genetics, 42(1), 170-186. https://doi.org/10.1007/s10519-011-9480-3
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Molenaar, D., & Dolan, C. V. (2012). Substantively motivated extensions of the traditional latent trait model. Netherlands Journal of Psychology, 67(3), 48-57. http://www.psynip.nl/ledennet-documenten-nip-algemeen/njp/njp-openbaar/njop_vol67_nr3-def.pdf
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Molenaar, D., van der Sluis, S., Boomsma, D. I., & Dolan, C. V. (2012). Detecting specific genotype by environment interaction using marginal maximum likelihood estimation in the classical twin design. Behavior genetics, 42(3), 483-499. https://doi.org/10.1007/s10519-011-9522-x
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Molenaar, D., Dolan, C. V., & de Boeck, P. (2012). The heteroscedastic graded response model with a skewed latent trait: testing statistical and substantive hypotheses related to skewed item category functions. Psychometrika, 77(3), 455-478. https://doi.org/10.1007/s11336-012-9273-5
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