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Journal Article (51)

2021
Journal Article
Arnold, M., Voelkle, M. C., & Brandmaier, A. M. (2021). Score-guided structural equation model trees. Frontiers in Psychology, 11, Article 564403. https://doi.org/10.3389/fpsyg.2020.564403
2020
Journal Article
Arnold, M., Oberski, D. L., Brandmaier, A. M., & Voelkle, M. C. (2020). Identifying heterogeneity in dynamic panel models with individual parameter contribution regression. Structural Equation Modeling, 27(4), 613–628. https://doi.org/10.1080/10705511.2019.1667240
Journal Article
Bach, D. R., Melinščak, F., Fleming, S. M., & Voelkle, M. C. (2020). Calibrating the experimental measurement of psychological attributes. Nature Human Behaviour, 4, 1229–1235. https://doi.org/10.1038/s41562-020-00976-8
Journal Article
Brose, A., Schmiedek, F., Gerstorf, D., & Voelkle, M. C. (2020). The measurement of within-person affect variation. Emotion, 20(4), 677–699. https://doi.org/10.1037/emo0000583
Journal Article
Gische, C., West, S. G., & Voelkle, M. C. (2020). Forecasting causal effects of interventions versus predicting future outcomes. Structural Equation Modeling. Advance online publication. https://doi.org/10.1080/10705511.2020.1780598
Journal Article
Hardt, K., Hecht, M., & Voelkle, M. C. (2020). Robustness of individual score methods against model misspecification in autoregressive panel models. Structural Equation Modeling, 27(2), 240–254. https://doi.org/10.1080/10705511.2019.1642755
Journal Article
Karch, J. D., Brandmaier, A. M., & Voelkle, M. C. (2020). Gaussian Process Panel Modeling: Machine learning inspired analysis of longitudinal panel data. Frontiers in Psychology, 11, Article 351. https://doi.org/10.3389/fpsyg.2020.00351
Journal Article
Neubauer, A. B., Voelkle, M. C., Voss, A., & Mertens, U. K. (2020). Estimating reliability of within-person couplings in a multilevel framework. Journal of Personality Assessment, 102(1), 10–21. https://doi.org/10.1080/00223891.2018.1521418
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
Journal Article
Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From data to causes I: Building a general cross-lagged panel model (GCLM). Organizational Research Methods, 23(4), 651–687. https://doi.org/10.1177/1094428119847278
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