Publikationen von Manuel C. Voelkle

Zeng, G., Fu, P., May, H., Lopez, B., Suarez-Morales, L., Voelkle, M. C., Wang, C.-P., & Boruch, R. F. (2012). America's youngest Kindergarteners' elevated levels of internalizing problems at school entry and beyond: Evidence from the Early Childhood Longitudinal Study. School Mental Health, 4, 129–142. https://doi.org/10.1007/s12310-012-9077-x

Mueller, K., Voelkle, M. C., & Hattrup, K. (2011). On the relationship between job satisfaction and non-response in employee attitude surveys: A longitudinal field study. Journal of Occupational and Organizational Psychology, 84(4), 780–798. https://doi.org/10.1348/096317910X526777

Riediger, M., Voelkle, M. C., Ebner, N. C., & Lindenberger, U. (2011). Beyond "happy, angry, or sad?" Age-of-poser and age-of-rater effects on multi-dimensional emotion perception. Cognition and Emotion, 25(6), 968–982. https://doi.org/10.1080/02699931.2010.540812

Driver, C. C., & Voelkle, M. C. (2021). Hierarchical continuous time modeling. In J. F. Rauthmann (Ed.), The handbook of personality dynamics and processes (pp. 887–908). Academic Press. https://doi.org/10.1016/B978-0-12-813995-0.00034-0

Brandmaier, A. M., Driver, C. C., & Voelkle, M. C. (2018). Recursive partitioning in continuous time analysis. In K. van Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 259–282). Springer.

Driver, C. C., & Voelkle, M. C. (2018). Understanding the time course of interventions with continuous time dynamic models. In K. van Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 79–109). Springer.

Oud, J. H. L., Voelkle, M. C., & Driver, C. C. (2018). First- and higher-order continuous time models for arbitrary N using SEM. In K. van Montfort, J. H. L. Oud, & M. C. Voelkle (Eds.), Continuous time modeling in the behavioral and related sciences (pp. 1–26). Springer.

Voelkle, M. C. (2017). A new perspective on three old methodological issues: The role of time, missing values, and cohorts in longitudinal models of youth development. In A. C. Petersen, S. H. Koller, F. Motti-Stefanidi, & S. Verma (Eds.), Positive youth development in global contexts of social and economic change (pp. 110–136). Routledge.

Voelkle, M. C., & Adolf, J. (2017). History of longitudinal statistical analyses. In N. A. Pachana (Ed.), Encyclopedia of geropsychology (pp. 1094–1102). Springer. https://doi.org/10.1007/978-981-287-082-7_135

Voelkle, M. C., & Wagner, J. (2017). Analyzing personality change: From average trajectories to within-person dynamics. In J. Specht (Ed.), Personality development across the lifespan (pp. 497–516). Academic Press. https://doi.org/10.1016/B978-0-12-804674-6.00030-2