Sprechstunde

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Sekretariat

Julie Frodyma
Tel.: +49 561 804-2951
Mail: julie.frodyma@uni-kassel.de

Akademischer Werdegang

10/2018Wissenschaftliche Mitarbeiterin, Fachgebiet Psy. Diagnostik, Universität Kassel
09/2018Master in Psychologie (M.Sc.) an der Universität Kassel
06/2016Bachelor in Psychologie (B.Sc.) an der FernUniversität in Hagen
10/2014Bachelor in Soziologie (B.A.) an der Georg-August-Universität Göttingen

 

Berufliche Tätigkeiten

11/2017-09/2018wissenschaftliche Online-Tutorin (WOT) für den Bachelorarbeits-Vorbereitungskurs im B.Sc. Psychologie, FernUniversität in Hagen
10/2017-01/2018Tutorin für Psychologische Diagnostik, Universität Kassel
11/2016-03/2018Forschungspraktikum im Lehrgebiet Community Psychology, FernUniversität in Hagen
01/2016-03/2016

Forschungspraktikum im Arbeitsbereich Arbeits- und Organisationspsychologie, FernUniversität in Hagen

Auszeichnungen und Preise

09/2019Pearson Preis für eine herausragende Masterarbeit in der psychologischen Diagnostik

 

  • Potential und Fallstricke von Machine Learning Algorithmen in der psychologischen Forschung
  • Entwicklung psychometrisch optimierter Kurzskalen mittels Metaheuristiken
  • Persönlichkeitsmessung und -entwicklung

Preprints

  • Jankowsky, K., Zimmermann, J., Jaeger, U., Mestel, R., & Schroeders, U. (2023, September 27). First impressions count: Therapists’ impression on patients’ motivation and helping alliance predicts psychotherapy dropout. Retrieved from psyarxiv.com/nhs6c
  • Schroeders, U., Loos, A., Wiedemann, S., & Jankowsky, K. (2023, March 10). Is it Just a Game? Development and Validation of a Deductive Version of Mastermind as Measure of Reasoning Ability. https://doi.org/10.31234/osf.io/y8e7p
  • Schroeders, U., Mariss, A., & Jankowsky, K. (2023, February 27). Predicting juvenile delinquency and criminal behavior in adulthood using machine learning. https://doi.org/10.31234/osf.io/ubs9e

Peer-reviewed articles

  • Jankowsky, K., Krakau, L., Schroeders, U., Zwerenz, R., & Beutel, M. E. (in press). Predicting treatment response using machine learning: A Registered Report. British Journal of Clinical Psychology. https://doi.org/10.31234/osf.io/fuyjv
  • Schroeders, U., Morgenstern, M., Jankowsky, K., & Gnambs, T. (in press). Short-scale construction using meta-analytic Ant Colony Optimization: A demonstration with the Need for Cognition Scale. European Journal of Psychological Assessment. https://doi.org/10.31234/osf.io/nw8k7
  • Jankowsky, K., Steger, D., & Schroeders, U. (2024). Predicting lifetime suicide attempts in a community sample of adolescents using machine learning algorithms. Assessment, 31(3), 557–573. https://doi.org/10.1177/10731911231167490
  • Olaru, G., Jankowsky, K., & Allemand, M. (2023). Structural and inter-individual differentiation in personality across the adult lifespan. European Journal of Personality. https://doi.org/10.1177/08902070231171736
  • Terry, J., Ross, R. M., Nagy, T., Salgado, M., Garrido-Vásquez, P., Sarfo, J. O., … Field, A. P.. (2023). Data from an international multi-centre study of statistics and mathematics anxieties and related variables in university students (the SMARVUS dataset). Journal of Open Psychology Data. https://doi.org/10.5334/jopd.80
  • Wendt, L. P., Jankowsky, K., Zimmermann, J., Schroeders, U., Nolte, T., Fonagy, P., Montague, P. R., & Olaru, G. (2022). Mapping established psychopathology scales onto the Hierarchical Taxonomy of Psychopathology (HiTOP). Personality and Mental Health, 17(2), 117–134. https://doi.org/10.1002/pmh.1566
  • Steger, D., Jankowsky, K., Schroeders, U., & Wilhelm, O. (2022). The road to hell is paved with good intentions: How common practices in scale construction hurt validity. Assessment, 30(6), 1811–1824. https://doi.org/10.1177/10731911221124846
  • Jankowsky, K. & Schroeders, U. (2022). Validation and generalizability of machine learning prediction models on attrition in longitudinal studies. International Journal of Behavioral Development, 46(2), 169–176. https://doi.org/10.1177/01650254221075034
  • Olaru, G., & Jankowsky, K. (2021). The HEX-ACO-18: Developing an age-invariant HEXACO short scale using Ant Colony Optimization. Journal of Personality Assessment. https://doi.org/10.1080/00223891.2021.1934480
  • Tierney, W., Hardy, J. H., III., Ebersole, C., Viganola, D., Clemente, E., Gordon, M., Hoogeveen, S., Haaf, J., Dreber, A.A., Johannesson, M., Pfeiffer, T., Chapman, H., Gantman, A., Vanaman, M., DeMarree, K., Igou, E., Wylie, J., Storbeck J., Andreychik, M.R., McPhetres, J., Vaughn, L.A., Culture and Work Morality Forecasting Collaboration, & Uhlmann, E. L. (2021). A creative destruction approach to replication: Implicit work and sex morality across cultures. Journal of Experimental Social Psychology, 93, 104060. https://doi.org/10.1016/j.jesp.2020.104060 (Member of Forecasting Collaboration)
  • Tierney, W., Hardy, J. H., III., Ebersole, C., Leavitt, K., Viganola, D., Clemente, E., Gordon, M., Dreber, A.A., Johannesson, M., Pfeiffer, T., Hiring Decisions Forecasting Collaboration, & Uhlmann, E.L. (2020). Creative destruction in science. Organizational Behavior and Human Decision Processes, 161, 291-309. https://doi.org/10.1016/j.obhdp.2020.07.002 (Member of Forecasting Collaboration)
  • Jankowsky, K., Olaru, G., & Schroeders, U. (2020). Compiling measurement invariant short scales in cross-cultural personality assessment using Ant Colony Optimization. European Journal of Personality, 34, 470–485. https://doi.org/10.1002/per.2260
08/2023-08/2024

ZFF PROJEKT: Fallstricke bei der Validierung von Machine Learning Modellen in der psychologischen Forschung

seit 2023Mitglied im von der DFG geförderten Personality Computing Netzwerk (PCN)