Dr. Tim Angelike
Dr. Tim Angelike
Raum 23.03.00.29
Research Interests
- Psychological Assessment
- Human Random Number Generation
- Computational Modeling and Computer Simulations
Education
| 2021 - 2024 | Dr. rer. nat. in Psychology, Heinrich-Heine-Universität Düsseldorf, Germany |
| 2019 - 2023 | Bachelor of Science in Computer Science, Heinrich-Heine-Universität Düsseldorf, Germany |
| 2019 - 2021 | Master of Science in Psychology, Heinrich-Heine-Universität Düsseldorf, Germany |
| 2016 - 2019 | Bachelor of Science in Psychology, Heinrich-Heine-Universität Düsseldorf, Germany |
Publications
Angelike, T., & Musch, J. (2024). An improved modeling approach to investigate biases in human random number generation [under review].
Angelike, T., & Musch, J. (2024). A comparative evaluation of measures to assess randomness in human-generated sequences. Behavior Research Methods, 56(7), 7831–7848. https://doi.org/10.3758/s13428-024-02456-7
Software
Angelike, T. (2022). randfindR: Analysis of randomness in human generated sequences. https://github.com/TImA97/randfindR
Talks
Methods for measuring and modelling randomness in human generated number sequences (Angelike, 2024). Invited talk at the department of psychological assessment and iscience of Ulf-Dietrich Reips, University of Konstanz.
An improved modeling approach to investigate biases in human random number generation (Angelike & Musch, 2024). Poster at the 66th Tagung experimentell arbeitender Psychologen. Regensburg, Germany.
Experimental Validation of a New Axiomatically Derived Scoring Rule for the Subset Selection Response Format (Angelike, Diedenhofen, & Musch, 2023). Talk at the Society for Computation in Psychology as part of the Psychonomic Society 64th Annual Meeting.