A. (Tasos) Psychogyiopoulos
Faculty of Social and Behavioural Sciences
Programme group: Methods and statistics
Visiting address
- Nieuwe Achtergracht 127
Postal address
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Postbus 15776
1001 NG Amsterdam
Contact details
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Publications
2025
- Namesnik-Silvester, K., Polak, M., Smits, N., Swinkels, J., Arends, L., Pavlopoulos, D., Psychogyiopoulos, A., Lindemann, O., Klinkenberg, S., & de Moor, M. H. M. (2025). ShareStats: An open statistics item bank developed by a community of instructors in higher education. Teaching Statistics, 47(2), 129-138. https://doi.org/10.1111/test.12399
- Psychogyiopoulos, A., Smits, N., & van der Ark, L. A. (2025). A novel CAT method for QoL screening: proof-of-principle study with comparisons to standard methods. Quality of Life Research, 34(10), 2787-2795. https://doi.org/10.1007/s11136-025-04035-5
- Psychogyiopoulos, A., Smits, N., & van der Ark, L. A. (2025). Estimating the Joint Item-Score Density Using an Unrestricted Latent Class Model: Advancing Flexibility in Computerized Adaptive Testing. Journal of Computerized Adaptive Testing, 12(3).
2024
Kan, K.-J., Psychogyiopoulos, A., Groot, L. J., de Jonge, H., & ten Hove, D. (2024). Why do bi-factor models outperform higher-order g factor models? A network perspective. Journal of Intelligence, 12(2), Article 18. https://doi.org/10.3390/jintelligence12020018 [details]
Talk / presentation
- Psychogyiopoulos, T. (speaker), ten Hove, D. (speaker) & Kan, K. (speaker) (7-2021). Why Bifactor Models Outperform Higher-Order Factor Models for General Intelligence: A Network Perspective, 86th International Meeting of the Psychometric Society.
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Ancillary activities
No ancillary activities
Kan, K.-J., Psychogyiopoulos, A., Groot, L. J., de Jonge, H., & ten Hove, D. (2024). Why do bi-factor models outperform higher-order g factor models? A network perspective. Journal of Intelligence, 12(2), Article 18.