Dr. Marie-Ann Sengewald
Contact:
Wilhelmsplatz 3, Raum 025
96047 Bamberg
Tel. +49(0)951-863-3678
Marie-Ann.Sengewald(at)uni-bamberg.de
Professional career
- in addition since July 2019: Research associate, Educational Measurement, Leibniz Institut of Educational Trajectories
- since December 2017: Research associate, Psychological Methods of Educational Research, Otto Friedrich University Bamberg
- 2012-2017: Research associate, Department of Methodology and Evaluation Research, Friedrich Schiller University Jena
- 2009-2011: Student research assistant at the project "Fair Comparisons in Educational Research"
- 2007-2009: Student research assistant at the Department of Methodology and Evaluation Research, Friedrich Schiller University Jena
- 2006-2009: Tutor for descriptive, inference and multivariate statistics at the Department of Methodology and Evaluation Research, Friedrich Schiller University Jena
Education
- 2012 - 2019: Doctorate, dissertation topic "Latent Covariates", Freie Universität Berlin (advisors Steffi Pohl & Rolf Steyer)
- 2005 - 2011: Studies in Psychology, Friedrich Schiller University Jena
- 08/2009 - 01/2010: Human Development and Family Studies at the Pennsylvania State University
Teaching
Otto Friedrich University Bamberg
- Methods of evaluation research
- Multivariate statistics
- Structural equation modeling
- Research internship: test construction
Friedrich Schiller University Jena
- Introduction to latent variable modeling
- Item response theory
- Bachelorpropädeutikum
My classes are supported by DataCamp.
Research Interests
- Causal Inference
- Item response theory
- Structural equation modeling
Publications
- 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., Pohl, S., & Steiner, P. M. (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.
- Thielemann, D., 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
- Gast, A., 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., & Steyer, R. (2016) Adjustment when covariates are fallible. In W. Wiedermann & A. v. Eye (Eds.), Statistics and causality: Methods for applied empirical research. New Jersey: Wiley.
Conference Contribution
- Sengewald, M.-A., & Pohl, S. (2019, September). Die Amplifizierung der Verfälschung kausaler Effektschätzungen durch relevante und korrelierte Kovariaten. Vortrag auf der 14. Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie (DGPs), Kiel, Deutschland.
- Sengewald, M.-A., & Pohl, S. (2018, September). Der verfälschende Einfluss einer
unreliablen Kovariate bei Berücksichtigung einer weiteren Kovariate. Vortrag auf dem 51.
Kongress der Deutschen Gesellschaft für Psychologie (DGPs), Frankfurt, Deutschland. - Sengewald, M.-A. (2018, September). Die Antwort ist 42. Blitzlichtvortrag auf dem 51.
Kongress der Deutschen Gesellschaft für Psychologie (DGPs), Frankfurt, Deutschland. - Sengewald, M.-A., & Pohl, S. (2018, July). A Correlated Covariate Amplifies the Bias of a
Fallible Covariate in Causal Effect Estimates. Oral presentation at the VIII European Congress of Methodology (EAM), Jena, Germany. - Sengewald, M.-A., & Pohl, S. (2017, September). Die Amplifizierung des verfälschenden Einflusses
einer unreliablen Kovariate. Vortrag auf der 13. Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie (DGPs), Tübingen, Deutschland. - Sengewald, M.-A., & Pohl, S. (2017, July). Amplification and Compensation of Attenuation Bias. Oral presentation at the International Meeting of the Psychometric Society (IMPS), Zürich, Switzerland.
- Sengewald, M.-A., & Pohl, S. (2016, September). Umgang mit unreliablen Kovariaten in nicht-randomisierten Studien. Vortrag auf dem 50. Kongress der Deutschen Gesellschaft für Psychologie (DGPs), Leipzig, Deutschland.
- Sengewald, M.-A., & Pohl, S. (2015, September). Kovariatenselektion in nicht-randomisierten Studien mit unreliablen Kovariaten. Vortrag auf der 12. Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie (DGPs), Jena, Deutschland.
- Sengewald, M.-A., Pohl, S., & Steiner, P. M. (2014, September). Die Bedeutung latenter Kovariaten für die Schätzung kausaler Effekte in ANCOVA und Propensity score Analysen. Vortrag auf dem 49. Kongress der Deutschen Gesellschaft für Psychologie (DGPs), Bochum, Deutschland.
- Sengewald, M.-A., Pohl, S., & Steiner, P. M. (2014, July). On the importance of modeling latent covariates in ANCOVA and Propensity score analysis. Oral presentation at the VI European Congress of Methodology of the European Association of Methodology (EAM), Utrecht, Niederlande.
- Pohl, S. & Sengewald, M.-A. (2014, May). On the importance of adjustment for latent covariates. Invited presentation at the ’Conference on Statistics and Causality’, University Wien, Österreich.
- Sengewald, M.-A., Pohl, S., Reuter, F. & Steiner, P. M. (2012, July). Accounting for fallible covariates in ANCOVA and Propensity Score methods. Oral presentation at the Symposium "Conditional and Direct Causal Effects", Dornburg.
Review Contributions
- Journals:
- Educational Research Review
- Evaluation Review
- Psychometrika
- Conference Abstracts:
- 12. Conference of the Expert Group of Methods and Evaluation of the German Psychological Society
- 14. Conference of the Expert Group of Methods and Evaluation of the German Psychological Society