Bayer, L., Cigelski, M., Eilfgang, J., Kraus, E. B., Mensing, F., & Pülschen, S. (2025). German version of
the child sexual abuse myth scale (CSAMS-G): Translation, expansion, and construct validation.
Behavioral Sciences, 15(2). https://doi.org/10.3390/bs15020143
Giglberger, M., Peter, H. L., Henze, G.-I., Kraus, E., Bärtl, C., Konzok, J., Zänkert, S., Kreuzpointner, L.,
Kirsch, P., Kudielka, B. M., et al. (2024). Brain activation changes as predictors for perceived stress and
cortisol awakening responses over a 13-months stress period. Psychoneuroendocrinology, 160, 106798.
Hrabetz, B., Kraus, E. B., & Gruber, H. (2024). Social identity in environmental protection engagement:
How are different kinds of identity related to different types of engagement? Journal of Applied Social
Psychology, 54, 776–786. https://doi.org/https://doi.org/10.1111/jasp.13072786
Kraus, E., & Kern, C. (2024). Measurement modeling of predictors and outcomes in algorithmic
fairness. European Workshop on Algorithmic Fairness. 3(23), 1-18
Kraus, E., Wild, J., Bühner, M., Schilcher, A., & Hilbert, S. (2024). Applying cross-validated psychometric
models to the bavarian reading test (BYLET). European Journal of Psychological Assessment.
https://doi.org/https://doi.org/10.1027/1015-5759/a000848
Kraus, E. B., Wild, J., & Hilbert, S. (2024b). Using interpretable machine learning for differential item
functioning detection in psychometric tests. Applied Psychological Measurement, 48(4-5), 167–186.
https://doi.org/10.1177/01466216241238744
Sterner, P., Friemelt, B., Goretzko, D., Kraus, E. B., Bühner, M., & Pargent, F. (2024). The
confidence/significance level implies a certain cost ratio between type I error and type II error: For a
stronger focus on decision theory in psychological assessment-Das Konfidenz-/Signifikanzniveau
impliziert ein bestimmtes Kostenverhältnis zwischen Fehler 1. Art und Fehler 2. Art: Für ein stärkeres
Einbeziehen der Entscheidungstheorie in die psychologische Einzelfalldiagnostik. Diagnostica, 70(3),
126–138. https://doi.org/10.1026/0012-1924/a000329
Giglberger, M., Peter, H. L., Henze, G.-I., Kraus, E., Bärtl, C., Konzok, J., Kreuzpointner, L., Kirsch, P.,
Kudielka, B. M., & Wüst, S. (2023). Neural responses to acute stress predict chronic stress perception in
daily life over 13 months. Scientific Reports, 13(1), 19990. https://doi.org/https://doi.org/10.1016/j.psyneuen.2022.105771
Kraus, E. B. (2022). Diagnostische Entscheidungen mit dem Treatment Decision Model – ein
entscheidungstheoretischer Ansatz auf Basis von Evaluationsstudiendaten. LMU Munich, Germany
Giglberger, M., Peter, H. L., Kraus, E., Kreuzpointner, L., Zänkert, S., Henze, G.-I., Bärtl, C., Konzok, J.,
Kirsch, P., Rietschel, M., et al. (2022). Daily life stress and the cortisol awakening response over a
13-months stress period–findings from the lawstress project. Psychoneuroendocrinology, 141, 105771.
Hilbert, S., Pargent, F., Kraus, E., Naumann, F., Eichhorn, K., Ungar, P., & Bühner, M. (2022). What’s the
measure? An empirical investigation of self-ratings on response scales. International Journal of Social
Research Methodology, 25(1), 59–78.
Schilcher, A., Wild, J., Kraus, E., & Hilbert, S. (2022). FiLBY-2–ein Leseflüssigkeitstraining für alle
Schülerinnen und Schüler? Differenzielle Effekte. Zeitschrift für Sprachlich-Literarisches Lernen und
Deutschdidaktik, 2.
Hilbert, S., Coors, S., Kraus, E., Bischl, B., Lindl, A., Frei, M., Wild, J., Krauss, S., Goretzko, D., &
Stachl, C. (2021). Machine Learning for the educational sciences. Review of Education, 9(3), e3310.
