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Dr. Marie-Ann Sengewald

Research Data Center, Methods Development | Conceptual Replications - Guidelines for implementation and factors influencing replicability across different fields in psychology

Research Data Center, Methods Development | Scaling and Test Design

Vita

Research interests

Causal Inference

latent Variable Models

Replication research

Evaluation Research

Publications

2024

Heyne, N., Gnambs, T., & Sengewald, M.-A. (2024). Participation rates, characteristics, and differential effects on reading literacy of extracurricular tutoring in a German large-scale assessment. Large-scale Assessments in Education, 12, Article 27. https://doi.org/10.1186/s40536-024-00216-9

Kutscher, T., Sengewald, M.-A., Gnambs, T., Carstensen, C. H., & Aßmann, C. (2024). Editorial: The national educational panel study (NEPS) and methodological innovations in longitudinal large-scale assessments. Large-scale Assessments in Education, 12, Article 31. https://doi.org/10.1186/s40536-024-00221-y

Sengewald, E., Hardt, K., & Sengewald, M.-A. (2024). A causal view on bias in missing data imputation: The impact of problematic auxiliary variables on the norming of test scores. Multivariate Behavioral Research. Advance online publication. https://doi.org/10.1080/00273171.2024.2412682

Sengewald, M.-A., Henninger, M., Bechtloff, P., & Kubik, V. (2024). Familiengerechte Karrieremöglichkeiten in der psychologischen Forschung? Psychologische Rundschau, 75(3), 234-248. https://doi.org/10.1026/0033-3042/a000682

Sengewald, M.-A., Lange, J., Bendixen, A., Strobel, A., Strobl, C., & Imhoff, R. (2024). Empfehlungen zur Förderung einer familienfreundlichen Wissenschaft. In U. Ansorge, D. Gugerell, U. Pomper, B. Szaszkó, & L. Werner (Eds.), Congress of the German and Austrian Psychological Societies 2024 (pp. 270-271). Pabst Science Publishers. https://doi.org/10.2440/0003

2023

Erhardt, T., Gnambs, T., & Sengewald, M.-A. (2023). Studying item effects and their correlation patterns with multi-construct multi-state models. PLOS ONE, 18(8), Article e0288711. https://doi.org/10.1371/journal.pone.0288711

Gnambs, T., & Sengewald, M.-A. (2023). Meta-analytic structural equation modeling with fallible measurements. Zeitschrift für Psychologie, 231(1), 39-52. https://doi.org/10.1027/2151-2604/a000511

Sengewald, M.-A., Erhardt, T., & Gnambs, T. (2023). The predictive validity of item effect variables in the satisfaction with life scale for psychological and physical health. Assessment, 30(8), 2461–2475. https://doi.org/10.1177/10731911221149949

Sengewald, M.-A., Hahn, I., & Kähler, J. (2023). NEPS Technical Report for science: Scaling results of Starting Cohorts 4 and 6 (Wave 14) (NEPS Survey Paper No. 109). Leibniz Institute for Educational Trajectories, National Educational Panel Study. https://doi.org/10.5157/NEPS:SP109:1.0

2022

Sengewald, M.-A., & Mayer, A. (2022). Causal effect analysis in nonrandomized data with latent variables and categorical indicators: The implementation and benefits of EffectLiteR. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000489

2019

Sengewald, M.-A. (2019). Latent covariates.

Sengewald, M.-A., & Pohl, S. (2019). Compensation and amplification of attenuation bias in causal effect estimates. Psychometrika, (84(2)), 589-610. https://doi.org/10.1007/s11336-019-09665-6

Sengewald, M.-A., Steiner, P., & Pohl, S. (2019). When does measurement error in covariates impact causal effect estimates? - Analytical derivations of different scenarios and an empirical illustration. British Journal of Mathematical and Statistical Psychology, (72(2)), 244-270. https://doi.org/10.1111/bmsp.12146

2017

Desirée, T., Sengewald, M.-A., Kappler, G., & Steyer, R. (2017). A probit latent state IRT model with latent item-effect variables. European Journal of Psychological Assessment, (33(4)), 271-284. https://doi.org/10.1027/1015-5759/a000417

2016

Anne, G., Langer, S., & Sengewald, M.-A. (2016). Evaluative conditioning increases with temporal contiguity. The influence of stimulus order and stimulus interval on evaluative conditioning. Acta Psychologica, 170, 177-185. https://doi.org/10.1016/j.actpsy.2016.07.002

Pohl, S., & Sengewald, M.-A. (2016). Adjustment when Covariates are Fallible. In W. Wiedermann, & A. von Eye (Eds.), Statistics and Causality: Methods for Applied Empirical Research (pp. 363-384). Hoboken, NJ: Wiley.

Selected presentations and lectures

2024

Henninger, M., Sengewald, M.-A., Radek, J., & Strobl, C. (2024, July 16 - 19). Quantifying DIF and DSF effect sizes in partial credit trees [Paper presentation]. IMPS 2024 Annual Meeting, Prague, Czechia. https://www.psychometricsociety.org/imps-2024

Radek, J., Sengewald, M.-A., Strobl, C., & Henninger, M. (2024, September 16 - 19). Integrating an effect size measure for differential item and differential step functioning in tree-based machine learning methods for polytomous data [Poster presentation]. 53rd DGPs Congress / 15th ÖGP Conference, Vienna, Austria. https://dgps2024.univie.ac.at/program/

Sengewald, M.-A. (2024, April 18). Causal interpretations of effect heterogeneity in replication research [Paper presentation]. Society & Choice Research Seminar, Basel, Switzerland. https://psychologie.unibas.ch/de/forschung/sed-research-seminar/

Sengewald, M.-A., & Henninger, M. (13. - 15. November 2024). Welche Schlussfolgerungen ermöglichen Machine Learning Methoden zur Detektion von Differential Item Functioning? [Vortrag]. 29. Workshop der Angewandten Klassifikationsanalyse (AKA), Erlangen, Deutschland.

Sengewald, M.-A., Hoffmann, J., Kondzic, D., Twardawski, M., Gast, A., Höhs, J., & Pohl, S. (2024, July 16 - 19). Causes of non-replicability: Examining assumptions for causal inference [Paper presentation]. IMPS 2024 Annual Meeting, Prague, Czechia. https://www.psychometricsociety.org/imps-2024

Sengewald, M.-A., Hoffmann, J., Twardawski, M., Gast, A., Höhs, J., Kondzic, D., & Pohl, S. (2024, March 10 - 2025, March 15). A causal view on replication research: Methodologial challenges for explaining effect heterogeneity between studies [Paper presentation]. Colloquium on methods of empirical educational research, Frankfurt, Germany.

Sengewald, M.-A., Lange, J., Bendixen, A., Strobl, C., Imhoff, R., & Strobel, A. (16. - 19. September 2024). Familienfreundliche Wissenschaft [Podiumsdiskussion]. 53rd DGPs Congress / 15th ÖGP Conference, Vienna, Austria.

Sengewald, M.-A., Pohl, S., Twardawski, M., Gast, A., Höhs, J., Hoffmann, J., Kondzic, D., Steiner, P., & Wong, V. (2024, October 28 - 31). Guidelines for realizing conceptual replication studies with causal interpretations [Paper presentation]. META-REP 2024, Munich, Germany. https://www.conference2024.meta-rep.uni-muenchen.de/program/index.html

Sengewald, M.-A., Sengewald, E., & Hardt, K. (2024, September 16 - 19). Evil auxiliary variables in missing data imputation: A causal view on missing mechanisms [Symposium contribution]. 53rd DGPs Congress / 15th ÖGP Conference, Vienna, Austria. https://dgps2024.univie.ac.at/program/

2023

Sengewald, M.-A. (2023, July 3). Planned replication designs [Paper presentation]. Colloquium of the Department of Psychological Methods with Interdisciplinary Orientation, Frankfurt am Main, Deutschland.

Sengewald, M.-A. (2023, March 6 - 10). Identifying relevant predictors for differential item-functioning: A comparison of two machine learning based approaches [Paper presentation]. Kolloquium Methoden der empirischen Bildungsforschung, Frankfurt am Main, Deutschland.

Sengewald, M.-A. (2023, May 4). The impact of measurement error on causal inference [Paper presentation]. Colloquium of the working group Psychological Methodology, Leipzig, Germany.

Sengewald, M.-A., & Welling, J. (2023, July 10 - 14). Methods for covariate-adjusted group comparisons [Other]. 2nd COORDINATE Summer School, Bamberg, Germany.

Sengewald, M.-A., Henninger, M., Bechtloff, P., & Kubik, V. (12. Juni 2023). Vereinbarkeit beruflicher und familiärer Anforderungen [Vortrag]. 17. Plenarversammlung des Fakultätentages Psychologie, Berlin, Deutschland. https://fakultaetentag-psychologie.de/

Sengewald, M.-A., Twardawski, M., Gast, A., Höhs, J., Hoffmann, J., Kondzic, D., & Pohl, S. (2023, May 9 - 10). The implementation of prospective replication designs in different psychological fields [Poster presentation]. Metascience Conference 2023, Washington, DC, USA.

2022

Sengewald, M.-A., Pohl, S., Gast, A., Twardawski, M., Hoffmann, J., Kondzic, D., & Höhs, J. (2022, July 3 - 5). Conceptual replications: Guidelines for implementation and factors influencing replicability across different fields in psychology [Poster presentation]. 1st general meeting of the priority programme meta-rep, Tutzing, Germany.