Current Publications

König, C., & Frey, A. (2021). The effect of COVID-19-related school closures on student achievement. A meta-analysis. Manuscript submitted for publication.

König, C., Spoden, C., & Frey, A. (2021). Robustness of the performance of the optimised hierarchical two-parameter logistic IRT model for small-sample item calibration. Manuscript submitted for publication.

König, C., & Alexandrowicz, R. (2021). On the Atypical but Beneficial Behavior of Bayesian Hierarchical IRT Models. Manuscript submitted for publication.

König, C., Depaoli, S., Liu, H., & van de Schoot, R. (Eds.). (2021). Moving Beyond Non-Informative Prior Distributions - Achieving the Full Potential of Bayesian Methods for Psychological Research [Special issue]. Frontiers in Psychology – Quantitative Psychology and Measurement.

König, C., Depaoli, S., Liu, H., & van de Schoot, R. (2021). Moving Beyond Non-Informative Prior Distributions - Achieving the Full Potential of Bayesian Methods for Psychological Research [Editorial]. Frontiers in Psychology – Quantitative Psychology and Measurement.

Hammerstein, S., König, C., Dreisoerner, T., & Frey, A. (2021). Effects of COVID-19-related school closures on student achievement-a systematic review. Frontiers in Psychology – Educational Psychology, 12, 1-14. https://doi.org/10.3389/fpsyg.2021.746289

König, C. (2021). A similarity-weighted informative prior distribution for Bayesian multiple regression models. Frontiers in Psychology – Quantitative Psychology and Measurement, 12, 614236. https://doi.org/10.3389/fpsyg.2021.614236

König, C., Khorramdel, L., Yamamoto, K., & Frey, A. (2021). The benefits of fixed item parameter calibration for parameter accuracy in small sample situations in large-scale assessments. Educational Measurement: Issues and Practice, 40, 17–27. https://doi.org/10.1111/emip.12381

Fink, A., Naumann, P., & König, C. (2021). Computerisierte adaptive Klausuren im Psychologiestudium [Computerized adaptive exams for psychology studies]. Psychologische Rundschau, 72(2), 125-127. http://dx.doi.org/10.1026/0033-3042/a000532

The complete list of publications is available here.


Current Talks

König, C., & Alexandrowicz, R. W. (2020, March). Same same, but different - Über das Verhalten Bayesianischer Hierarchischer IRT-Modelle [Same same, but different - On the behavior of Bayesian hierarchical IRT models]. Paper presented at the Colloquium Educational Research Methods, Hirschegg, Austria.

König, C., Khorramdel, L., Yamamoto, K., & Frey, A. (2019, August). Reducing sample size requirements in large-scale assessments for improving test design flexibility. Paper presented at the 18th Biennal EARLI Conference for Research on Learning and Instruction, Aachen, Germany.

König, C., & Naumann, A. (2019, August). Alternatives to the Inverse Wishart distribution in Bayesian hierarchical IRT models. Paper presented at the 2019 Meeting of the European Mathematical Psychology Group (EMPG), Heidelberg, Germany.

König, C., Spoden, C., & Frey, A. (2018, September). Reducing sample size requirements of the 2PL model with Bayesian hierarchical modeling – Sensitivity of the Cauchy, exponential and inverse gamma hyperpriors for variance components. Paper presented at the 51th Congress of the German Psychological Society (DGPs),Frankfurt, Germany.

König, C., Spoden, C., & Frey, A. (2018, July). Reducing sample size requirements of the 2PL with a Bayesian hierarchical approach. Paper presented at the 8th European Congress of Methodology (EAM), Jena, Germany.

The complete list of talks is available here.