Prof. Dr. Jana Holtmann
Professur für Psychologische Methodenlehre
Kontakt:
j.holtmann@phb.de
Heinrich-Heine-Str. 15 | Raum 3.4
Tel.: 030/ 922 77 952
Sprechstunde: Nach Vereinbarung
Forschungsschwerpunkte:
- Multitrait-Multimethod Analyse
- Multimethodale Veränderungsmessung
- Analyse intensiver Längsschnittdaten, Dynamische Strukturgleichungsmodelle
- Multilevel Strukturgleichungsmodelle
- Anwendung Bayesianischer Verfahren in der Psychologie
Ausgewählte Publikationen:
Santangelo*, P. S., Holtmann*, J., Hosoya, G., Bohus, M., Kockler, T. D., Koudela-Hamila, S., Eid, M., & Ebner-Priemer, U. (2020). Within- and between-person effects of self-esteem and affective state as antecedents and consequences of dysfunctional behaviors in the everyday lives of patients with borderline personality disorder. Clinical Psychological Science, 8, 428-449. https://doi.org/10.1177/2167702620901724
Holtmann, J., Koch, T., Bohn, J. & Eid, M. (2020). Multimethod assessement of time-stable and time-variable interindividual differences: introduction of a new multitrait-multimethod latent state-trait IRT model. European Journal of Psychological Assessment. https://doi.org/10.1027/1015-5759/a000577
Eid, M., Holtmann, J., Santangelo, P., & Ebner-Priemer, U. (2017). On the definition of latent state-trait models with autoregressive effects: Insights from LST-R theory. European Journal of Psychological Assessment, 33, 285–29. doi: 10.1027/1015-5759/a000435.
Holtmann, J., Koch, T., Bohn, J., & Eid, M. (2017). Bayesian Analysis of Longitudinal Multitrait-Multimethod Data with Ordinal Response Variables. British Journal of Mathematical and Statistical Psychology, 70, 42-80. doi: 10.1111/bmsp.12081
Koch, T., Holtmann, J., Bohn, J., & Eid, M. (2017). Explaining General and Specific Factors in Longitudinal, Multimethod, and Bifactor Models: Some Caveats and Recommendations. Psychological Methods. Advance online publication. doi: 10.1037/met0000146.
Koch, T., Schultze, M., Holtmann, J., Geiser, C., & Eid, M. (2017). A multimethod latent state-trait model for structurally different and interchangeable methods. Psychometrika, 82, 17-47. doi: 10.1007/s11336-016-9541-x
Holtmann, J., Koch, T., Lochner, K., & Eid, M. (2016). A comparison of ML, WLSMV and Bayesian Methods for Multilevel Structural Equation Models in Small Samples – A simulation study. Multivariate Behavioral Research, 51, 661-680. doi: 10.1080/00273171.2016.1208074