Projekty i granty badawcze Zakładu
2024 – 2025 Using Large Language Models for Automatic Item Generation: Development and Validation for TIMSS Fourth Grade.
IEA Research and Development Fund, 2023.
2024 – 2025 Approximate Areas of Interest for Enhanced Understanding of Student Motivation and Task Interaction in IEA Assessments.
IEA Research and Development Fund, 2023.
2021 – 2025 Laboratorium badawcze cyfrowych nauk społecznych. O wykorzystywaniu cyfrowych śladów w badaniu problemów społecznych.
Grant Narodowego Centrum Nauki „Sonata Bis” (2020/38/E/HS6/00302).
2020 – 2024 Style odpowiedzi w danych samoopisowych: konsekwencje, sposoby zapobiegania, źródła.
Grant Narodowego Centrum Nauki „Opus” (Opus/17/HS6/00937).
Inne granty i aktywności badawcze
2022-2025 CSS współpracuje z Centrum Studiów Zaawansowanych (CAS) Norweskiej Akademii Nauk nad grantem badawczym:Disadvantaged Students Who Beat the Odds. Toward a New Generation of Research in Academic Resilience (projekt #BeResilient).
Publikacje
Pokropek, A., Żółtak, T., & Muszyński, M. (2026). Do You Agree? Do You Strongly Agree? The Effect of the Number of Response Categories on Response Processes and Verification of Substantive Hypotheses. International Journal of Public Opinion Research 38(1), edaf070. https://doi.org/10.1093/ijpor/edaf070
Pokropek, A. (2026). Detecting careless response patterns in Likert scales using supervised machine learning and Monte Carlo simulations. Current Psychol 45, 518. https://doi.org/10.1007/s12144-026-09186-3
Żółtak, T., Pokropek, A., & Muszyński, M. (2026). Response Styles and Omitted Variable Bias. Detection and Mitigation. Structural Equation Modeling: A Multidisciplinary Journal, 33(1), 9–18. https://doi.org/10.1080/10705511.2025.2555203
Muszyński, M., Banasik-Jemielniak, N., Żółtak, T. et al. (2026). Moving intelligence measurement online: adaptation and validation of the Polish version of the Pathfinder general cognitive ability test. Quality & Quantity 60, 329–354. https://doi.org/10.1007/s11135-025-02254-z
Pokropek, A., Żółtak, T., Muszyński, M. (2024). Identifying Careless Responding in Web-Based Surveys. Zeitschrift für Psychologie 232(2), 95-108. https://doi.org/10.1027/2151-2604/a000555
Cachia, R., Pokropek, A., & Giannoutsou, N. (2024). Supporting the monitoring of the digital capacity of schools through optimal shortening of the SELFIE tool. Computers & Education, 208, 104938. https://doi.org/10.1016/j.compedu.2023.104938
Rogoza, R., Krammer, G., Jauk, E., Flakus, M., Baran, L., Di Sarno, M., … & Fatfouta, R. (2024). The peaks and valleys of narcissism: The factor structure of narcissistic states and their relations to trait measures. Psychological Assessment, 36(2), 147. https://doi.org/10.1037/pas0001295
Pokropek, A., Żółtak, T., & Muszyński, M. (2023). Mouse chase: Detecting careless and unmotivated responders using cursor movements in web-based surveys. European Journal of Psychological Assessment, 39(4), 299–306. https://doi.org/10.1027/1015-5759/a000758
Meuleman, B., Żółtak, T., Pokropek, A., Davidov, E., Muthén, B., Oberski, D. L., … & Schmidt, P. (2023). Why measurement invariance is important in comparative research. A response to Welzel et al.(2021). Sociological methods & research, 52(3), 1401-1419. https://doi.org/10.1177/00491241221091755
Zając, T. Z., Żółtak, T., Bożykowski, M., & Jasiński, M. (2023). All that glitters is not gold—Mixed early labour market outcomes of STEM graduates in Poland. European Journal of Education, 58(3), 477-497. https://doi.org/10.1111/ejed.12564
Pokropek, A., Khorramdel, L., & von Davier, M. (2023). Detecting and Differentiating Extreme and Midpoint Response Styles in Rating Scales using Tree-Based Item Response Models: Simulation Study and Empirical Evidence. Psychological Test and Assessment Modeling, 65(2), 220-258.
Kajdy, A., Sys, D., Pokropek, … Mind-COVID Collaborative Team (2023). Risk factors for anxiety and depression among pregnant women during the COVID-19 pandemic: Results of a web-based multinational cross-sectional study. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 160(1), 167–186. https://doi.org/10.1002/ijgo.14388
Muszyński, M., Pokropek, A., Castaño-Muñoz, J., & Vuorikari, R. (2023). Can Overclaiming Technique Improve Self-Assessment Tools for Digital Competence? The Case of DigCompSat. Social Science Computer Review, 41 (6), 2318-2341. https://doi.org/10.1177/08944393221117269