Publications

• 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. DOI: 10.1027/2151-2604/a000555.
• 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, https://doi.org/10.1027/1015-5759/a000758.
• Muszyński, M., Pokropek, A., Castano-Munoz, J., & Vuorikari, R. (2022). Can Overclaiming Technique Improve Self-Assessment Tools for Digital Competence? The Case of DigCompSat. Social Science Computer Review, https://doi.org/10.1177/08944393221117269.
• Pokropek, A., Muszyński, M., & Żółtak, T. (2022). The impact of growing participation in PISA on scaling outcomes: A Monte Carlo simulation study (No. 277). OECD Publishing.
• Muszyński, M., Pokropek, A., & Żółtak, T. (2021). Structural Validity of Overclaiming Scores: analysing PISA 2012 data. Psychological Test and Assessment Modeling, 63 (1), 119-145.

Software

• R package rstyles enabling conveniently performing simulations and estimating psychometric models taking into account different kinds of response styles.
  DOI (wersja 0.7.1): 10.5281/zenodo.7614923
• Java Script applet logdataLimeSurvey enabling collection of log-data describing respondent’s actions during completing surveys in the LimeSurvey online survey platform.
• R package logLime enabling transforming, computing most widely used process indicators and preparing for visualization data collected using the logdataLimeSurvey applet.
  DOI (wersja 0.3.0): 10.5281/zenodo.8119546