Power analysis for experimental designs
Educational intervention studies
Multilevel analysis and latent modeling

Stallasch, S.E. (2024). Optimizing power analysis for randomized experiments: Design parameters for student achievement [Doctoral dissertation, University of Potsdam]. University of Potsdam. https://doi.org/10.25932/publishup-62939

Stallasch, S. E., Lüdtke, O., Artelt, C., Hedges, L. V., & Brunner, M. (2023). Single- and multilevel perspectives on covariate selection in randomized intervention studies on student achievement. PsyArXiv. https://doi.org/10.31234/osf.io/5ajmg

Brunner, M., Stallasch, S. E., & Lüdtke, O. (2023). Empirical benchmarks to interpret intervention effects on student achievement in elementary and secondary school: Meta-analytic results from Germany. Journal of Research on Educational Effectiveness, 1–39. https://doi.org/10.1080/19345747.2023.2175753

Brunner, M., Keller, L., Stallasch, S. E., Kretschmann, J., Hasl, A., Preckel, F., Lüdtke, O., & Hedges, L. V. (2023). Meta‐analyzing individual participant data from studies with complex survey designs: A tutorial on using the two‐stage approach for data from educational large‐scale assessments. Research Synthesis Methods, 14(1), 5–35. https://doi.org/10.1002/jrsm.1584

Stallasch, S. E., Lüdtke, O., Artelt, C., & Brunner, M. (2021). Multilevel design parameters to plan cluster-randomized intervention studies on student achievement in elementary and secondary school. Journal of Research on Educational Effectiveness, 14, 172–206. https://doi.org/10.1080/19345747.2020.1823539

Scharf, J., Becker, M., Stallasch, S. E., Neumann, M., & Maaz, K. (2020). Primäre und sekundäre Herkunftseffekte über den Verlauf der Sekundarstufe: Eine Dekomposition an drei Bildungsübergängen [Primary and secondary effects of social background across secondary education:
Decomposing effects at three educational transitions]. Zeitschrift für Erziehungswissenschaft, 23, 1251–1282. https://doi.org/10.1007/s11618-020-00981-7

Feddermann, M., Guill, K., List, M. K., Matthießen, R., Ömeroğulları, M., Stallasch, S. E., Köller, O., & Nagy, G. (2019). KESS—Skalierung der Leistungstests. [KESS—Scaling of the achievement tests]. Leibniz Institute for Science and Mathematics Education.

2019–2024     Fellowship at the International Max Planck Research School on the Life Course (LIFE)

Stallasch, S. E., Lüdtke, O., Artelt, C., & Brunner, M. (2021, December 2–3). Wie stark hängt die Belastbarkeit der Befunde randomisierter Interventionsstudien zur Kompetenzförderung vom Zeitabstand und der Domänenpassung von Kovariaten ab? [The impact of time lags and domain fit of covariates on the design sensitivity in randomized trials] [Paper presentation]. Conference on Methodological Challenges in Empirical Educational Research in the context of the online conference year of the Society for Empirical Educational Research (digiGEBF21).

Stallasch, S. E. , Keller, L. K., & Brunner, M. (2021, December 2–3). From tools to theories: Wie nehmen statistische Modelle Einfluss auf unseren Erkenntnisgewinn? [From tools to theories: How do statistical models influence our research findings?] [Symposium]. Conference on Methodological Challenges in Empirical Educational Research in the context of the online conference year of the Society for Empirical Educational Research (digiGEBF21).

Stallasch, S. E., Lüdtke, O., Artelt, C., & Brunner, M. (2021, May 25–27). Optimizing design sensitivity in randomized trials on student achievement: Which covariates are most effective? [Paper presentation]. International Max Planck Research School on the Life Course (LIFE) Online Spring Academy.

Stallasch, S. E., Lüdtke, O., Artelt, C., & Brunner, M. (2020, October 8–9). Single- and multilevel perspectives on covariate selection when planning randomized trials on Student Achievement [Paper presentation]. International Max Planck Research School on the Life Course (LIFE) Online Fall Academy.

Stallasch, S. E., Lüdtke, O., Artelt, C., & Brunner, M. (2019, October 11–15). Multilevel design parameters for planning cluster-randomized trials on students’ competencies [Paper presentation]. International Max Planck Research School on the Life Course (LIFE) Fall Academy, Zurich, Switzerland.

Stallasch, S. E., Lüdtke, O., Artelt, C., & Brunner, M. (2019, August 12–16). Evidence for the design of cluster-randomized intervention studies on students’ competencies [Paper presentation]. European Association for Research on Learning and Instruction (EARLI) 18th Biennial Conference, Aachen, Germany.

Stallasch, S. E., Artelt, C., & Brunner, M. (2019, February 25–27). Mehrebenen-Designparameter für die Planung cluster-randomisierter Interventionsstudien zur Kompetenzförderung [Multilevel design parameters for planning cluster-randomized intervention studies on students’ competencies] [Paper presentation]. Society for Empirical Educational Research (GEBF) 7th Annual Conference, Köln, Germany.

Stallasch, S. E. & Brunner, M. (2019, February 25–27). Methodische Herausforderungen bei der Planung und Analyse von Interventionsstudien [Methodological challenges in the design and analysis of intervention studies] [Symposium]. Society for Empirical Educational Research (GEBF) 7th Annual Conference, Köln, Germany.