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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

    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

    2023

    Gnambs, T., & Sengewald, M.-A. (2023, September 11 - 15). Phantom moderators in meta-analytic structural equation modeling [Paper presentation]. 16th Meeting of the Division Methods and Evaluation of the German Psychological Society, Konstanz, Germany.
    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 2 - 3). EffectLiteR: An R based tool for modeling differential effectiveness of treatments [Paper presentation]. Modeling of Individual Differences in Education - MIDE Working Group, Zurich, Switzerland.
    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., & Henninger, M. (2023, June 12 - 13). Using regularization approaches for DIF detection in polytomous IRT models [Paper presentation]. International Meeting on Detecting Differential Item Functioning in Polytomous IRT Models and / or Multiple Groups, Zürich, Schweiz.
    Sengewald, M.-A., & Mayer, A. (2023, March 15 - 17). Causal effect estimation in large-scale assessment data: Using a multi-group structural equation model with categorical indicators [Paper presentation]. Advanced Techniques for Longitudinal Data Analysis in Social Science Conference (ATLAS), Bielefeld, 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

    Hoffmann, J., Pohl, S., Twardawski, M., Gast, A., Höhs, J., & Sengewald, M.-A. (2022, September 10 - 15). Current practices for designing replications in social and cognitive psychology: A systematic literature review [Paper presentation]. 52nd Conference of the German Psychological Society (DGPs), Hildesheim, Germany.
    Sengewald, M.-A., & Erhardt, T. (2022, March 9 - 11). Studying the correlation patterns of item effects with multi-construct multi-state models [Paper presentation]. 9th Conference of the Society for Empirical Educational Research (GEBF), Bamberg, Germany.
    Sengewald, M.-A., Henninger, M., Bechtloff, P., & Kubik, V. (10. - 15. September 2022). Vereinbarkeit beruflicher und familiärer Anforderungen im Wissenschaftssystem: Eine Bestandsaufnahme in der psychologischen Forschung [Vortrag]. 52. Kongress der Deutschen Gesellschaft für Psychologie (DGPs), Hildesheim, Deutschland.
    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.

    2021

    Erhardt, T., & Sengewald, M.-A. (24. - 26. März 2021). Item-effect variables and their correlation patterns: Theoretical benefits and empirical insights from longitudinal large scale assessment data [Vortrag]. 1st methods retreat for young scientists, Berlin, Germany.
    Sengewald, M.-A., & Mayer, A. (16. September 2021). Benefits of latent variable models for causal effect analysis in large scale assessments [Vortrag]. 15th Conference of the Section Methods & Evaluation of the German Psychological Society - FGME 2021, Mannheim, Germany.
    Sengewald, M.-A., & Mayer, A. (8. Juni 2021). The impact of measurement error for causal effect analysis: An illustration with NEPS data [Vortrag]. 6th International NEPS Conference, Bamberg, Germany. https://www.neps-data.de/neps-conference2021

    2020

    Sengewald, M.-A. (13. - 17. September 2020). Causal effect estimation in non-randomized data and with fallible covariates [Vortrag]. An empirical comparison of adjustment methods, Vienna, Austria. https://dgps2020.univie.ac.at/home/
    Sengewald, M.-A., & Pohl, S. (16. - 20. April 2020). Does a correlated covariate compensate attenuation bias of a fallible covariate? [Vortrag]. National Council on Measurement in Education Annual Meeting, San Francisco, California, United States. https://www.ncme.org/home

    2019

    Sengewald, M.-A., & Pohl, S. (1. September 2019). Die Amplifizierung der Verfälschung kausaler Effektschätzungen durch relevante und korrelierte Kovariaten [Vortrag]. Vortrag im Rahmen der Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie, Kiel, Deutschland.

    2010

    Pohl, S., Sengewald, M.-A., & Lemke, F. (2010, July 21). Adjustment using latent covariates [Paper presentation]. Paper presented at the IV European Congress of Methodology - 27th Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences, Potsdam, de.
    Pohl, S., Sengewald, M.-A., Reuter, F., & Steiner, P. (2010, July 14). Adjustment using latent covariates [Paper presentation]. Paper presented at the Symposium on Causality 2010 on "Causality in Educational Research" of the University of Jena, Jena, de.
     

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