Publications of Timo von Oertzen

Journal Article (43)

2021
Journal Article
Bauer, T. A., Folster, A., Braun, T., & von Oertzen, T. (2021). A group comparison test under uncertain group membership. Psychometrika. Advance online publication. https://doi.org/10.1007/s11336-021-09794-x
Journal Article
Braun, T., & von Oertzen, T. (2021). Empathy, cognitive functioning, and prosocial behavior in mentored children. New Directions for Child and Adolescent Development. Advance online publication. https://doi.org/10.1002/cad.20409
Journal Article
Fitzgerald, C. E., Estabrook, R., Martin, D. P., Brandmaier, A. M., & von Oertzen, T. (2021). Correcting the bias of the root mean squared error of approximation under missing data. Methodology, 17(3), 189–204. https://doi.org/10.5964/meth.2333
2020
Journal Article
Brandmaier, A. M., Ghisletta, P., & von Oertzen, T. (2020). Optimal planned missing data design for linear latent growth curve models. Behavior Research Methods, 52, 1445–1458. https://doi.org/10.3758/s13428-019-01325-y
Journal Article
Braun, T., Kruse, J., Singleton, J., Hiemeyer, B., & von Oertzen, T. (2020). Effects of youth mentoring on depressive symptoms of single mothers. Global Journal of Community Psychology Practice, 11(3), Article 219.
Journal Article
Ghisletta, P., Mason, F., von Oertzen, T., Hertzog, C., Nilsson, L.-G., & Lindenberger, U. (2020). On the use of growth models to study normal cognitive aging. International Journal of Behavioral Development, 44(1), 88–96. https://doi.org/10.1177/0165025419851576
Journal Article
Schmiedek, F., Lövdén, M., von Oertzen, T., & Lindenberger, U. (2020). Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilities. PeerJ, 8, Article e9290. https://doi.org/10.7717/peerj.9290
Journal Article
Stefan, A. M., & von Oertzen, T. (2020). Bayesian power equivalence in latent growth curve models. British Journal of Mathematical and Statistical Psychology, 73(S1), 180–193. https://doi.org/10.1111/bmsp.12193
Journal Article
von Oertzen, T., Schmiedek, F., & Voelkle, M. C. (2020). Ergodic subspace analysis. Journal of Intelligence, 8(1), Article 3. https://doi.org/10.3390/jintelligence8010003
2019
Journal Article
Meyer, P., Schophaus, F. M., Glassen, T., Riedl, J., Rohrer, J. M., Wagner, G. G., & von Oertzen, T. (2019). Using the Dirichlet process to form clusters of people's concerns in the context of future party identification. PLoS ONE, 14(3), Article e0212944. https://doi.org/10.1371/journal.pone.0212944
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