Dr. Marie-Ann Sengewald

Contact:

Wilhelmsplatz 3, Raum 01.22
96047 Bamberg
Tel. +49(0)951-863-3678
Marie-Ann.Sengewald(at)uni-bamberg.de

• since January 2022: Project leader, Conceptual Replications
• 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

• 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

• Causal Inference
• Item response theory
• Structural equation modeling
• Replication research

Research Projects

• Conceptual Replications - Guidelines for implementation and factors influencing replicability across different fields in psychology

Principal Investigators: Marie-Ann Sengewald, Steffi Pohl, Anne Gast & Mathias Twardawski
Project Staff: Jerome Hoffmann
Funding: German Research Foundation (SE 3287/1-1)
Duration: 2022-2025

• Gnambs, T., & Sengewald, M.-A. (in press). Meta-analytic structural equation modeling with fallible measurements. Zeitschrift für Psychologie. Accepted for publication. preprint
• Sengewald, M.-A., & Mayer, A. (2022). Causal effect analysis in non-randomized data with latent variables and categorical indicators: The implementation and benefits of EffectLiteR.
  Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000489
• 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.

  https://doi.org/10.1111/bmsp.12146

• 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.

• National Council on Measurement in Education (NCME)  
• German Psychological Society (DGPs)