Sprechstunde

nach Vereinbarung

Akademischer Werdegang

2021 - 2023B.A. Politikwissenschaften mit Nebenfach Mathematik (ohne Abschluss)Universität Kassel

2020 – 

2023

M.Sc. PsychologieUniversität Kassel

2017 –

2020

B.Sc. PsychologieAlbert-Ludwigs-Universität Freiburg

 

Berufstätigkeiten

seit 04/2023Wissenschaftliche Mitarbeiterin (Promovierende), Psychologische Forschungsmethoden, Universität Kassel

 

Ausführlicher Lebenslauf

Keintzel, S. L., Wetzel, N., Scharf. F. (2024). Taking a Sledgehammer to Crack a Nut: Analyzing Response Time Data from a Distractor Task Experiment using Multi-Group Multi-Level Structural Equation Modeling. Talk presented at the Junior Scientist Meeting of the Methods and Evaluation Division of the DGPS 2024, Kassel, Germany.

Keintzel, S. L., Scharf, F. (2024). Modeling Auto-Regressive Effects in Experimental Longitudinal Data. Talk presented at the 53rd DGPS Congress/15th ÖGP Conference (German and Austrian Psychological Societies), Vienna, Austria.

Keintzel, S. L., Wetzel, N., Scharf. F. (2024). Are Larger Distractor Effects Associated with Slower Reaction Times in Subsequent Trials? Poster presented at the 14th International Multilevel Conference, Utrecht, Netherlands.

Keintzel, S. L., Nikolei, A., & Scharf, F. (2023). Exploring Different Mixed-Effects Models for Approximating Time-Varying Experimental Effects. Talk presented at the 16th Meeting of the Methods and Evaluation Division of the DGPs (FGME 2023), Konstanz, Germany.

Keintzel, S. L., Nikolei, A., & Scharf, F. (2023). Exploring Different Mixed-Effects Models for Approximating Time-Varying Experimental Effects. Talk presented at the 10th European Congress of Methodology (EAM 2023), Ghent, Belgium.

Weissgerber, S. C., Rummer, R., & Keintzel, S. L. (2023). Offline-Judgments of Learning: Comparison of Notetaking and Retrieval Practice by Teachers and Students. Talk presented at the 65th Conference of Experimental Psychologists (Tagung experimentell arbeitender Psycholog:innen, TEAP 2023), Trier, Germany.

Keintzel, S. L., & Pfeuffer, C. U. (2020).The Future at Face Value - Anticipatory Saccades Differ between Social and Neutral Action Effects. Poster presented at the (Virtual) Annual Meeting of the Psychonomic Society, USA.

  • (Nicht-) Lineare Gemischte Modelle 
  • Analyse zeitlicher Dynamiken in experimentellen Längsschnittsdaten
  • Nutzung von Machine Learning Algorithmen zur Längsschnittdatenanalyse

Mitglied des Fachbereichsrats 01