Publikationen von Charles C. Driver

Koch, T., Voelkle, M. C., & Driver, C. C. (2023). Analyzing longitudinal multirater data with individually varying time intervals. Structural Equation Modeling, 30(1), 86–104. https://doi.org/10.1080/10705511.2022.2096612

Luo, J., Zhang, B., Estabrook, R., Graham, E. K., Driver, C. C., Schalet, B. D., Turiano, N. A., Spiro III, A., & Mroczek, D. K. (2022). Personality and health: Disentangling their between-person and within-person relationship in three longitudinal studies. Journal of Personality and Social Psychology, 122(3), 493–522. https://doi.org/10.1037/pspp0000399

Driver, C. (2021). Computational efficiency in continuous (and discrete!) time models: Comment on Hecht and Zitzmann. Structural Equation Modeling, 28(5), 791–793. https://doi.org/10.1080/10705511.2021.1877547

Fandakova, Y., Leckey, S., Driver, C. C., Bunge, S. A., & Ghetti, S. (2019). Neural specificity of scene representations is related to memory performance in childhood. NeuroImage, 199, 105–113. https://doi.org/10.1016/j.neuroimage.2019.05.050

Redhead, D., Cheng, J. T., Driver, C. C., Foulsham, T., & O'Gorman, R. (2019). On the dynamics of social hierarchy: A longitudinal investigation of the rise and fall of prestige, dominance, and social rank in naturalistic task groups. Evolution and Human Behavior, 40(2), 222–234. https://doi.org/10.1016/j.evolhumbehav.2018.12.001

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

Voelkle, M. C., Gische, C., Driver, C. C., & Lindenberger, U. (2018). The role of time in the quest for understanding psychological mechanisms. Multivariate Behavioral Research, 53(6), 782–805. https://doi.org/10.1080/00273171.2018.1496813

Driver, C. C. (2017). Hierarchical continuous time dynamic modelling for psychology and the social sciences [Doktorarbeit, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/18927

Driver, C. C. (2022). Inference with cross-lagged effects: Problems in time and new interpretations. OSF Preprints, January 14, 2022. https://doi.org/10.31219/osf.io/xdf72