Selected Publications
<ol><li><strong>Sengewald, M.-A.</strong>, Erhardt, T. H. &amp;&nbsp; Gnambs, T. (2023).&nbsp;The Predictive Validity of Item Effect Variables in the Satisfaction With Life Scale for Psychological and Physical Health. <em>Assessment. </em>Advance online publication. <a href="https://doi/10.1177/10731911221149949" data-mce-href="https://doi/10.1177/10731911221149949">https://doi/10.1177/10731911221149949</a><br></li><li>Gnambs, T. &amp;<strong> Sengewald, M.-A. </strong>(2023). Meta-analytic structural equation modeling with fallible measurements. <em>Zeitschrift für Psychologie</em>. Advance online publication. <span class="epub-section__item font-xs epub-section__doi"><a class="epub-section__doi__text" href="https://doi.org/10.1027/2151-2604/a000511" data-mce-href="https://doi.org/10.1027/2151-2604/a000511">https://doi.org/10.1027/2151-2604/a000511</a></span><br data-mce-bogus="1"></li><li><strong>Sengewald, M.-A. </strong>&amp; Mayer, A. (2022). Causal effect analysis in non-randomized data with latent variables and categorical indicators: The implementation and benefits of EffectLiteR. <em>Psychological Methods</em>. Advance online publication. <a href="https://psycnet.apa.org/doi/10.1037/met0000489" target="_blank" rel="noreferrer" data-mce-href="https://psycnet.apa.org/doi/10.1037/met0000489">https://doi.org/10.1037/met0000489</a><br></li><li><strong>Sengewald, M.-A.</strong> &amp; Pohl, S. (2019). Compensation and amplification of attenuation bias in causal effect estimates. <em>Psychometrika, </em><em>84</em>(2), 589-610. <a href="https://doi.org/10.1007/s11336-019-09665-6" data-mce-href="https://doi.org/10.1007/s11336-019-09665-6">https://doi.org/10.1007/s11336-019-09665-6</a><br data-mce-bogus="1"></li><li><strong>Sengewald, M.-A.</strong>, Steiner, P. M. &amp; Pohl, S. (2019). When does measurement error in covariates impact causal effect estimates? - Analytical derivations of different scenarios and an empirical illustration. <em>British Journal of Mathematical and Statistical Psychology</em>,<em>72</em>(2), 244-270. <a href="https://doi.org/10.1111/bmsp.12146" data-mce-href="https://doi.org/10.1111/bmsp.12146">https://doi.org/10.1111/bmsp.12146</a><br data-mce-bogus="1"></li><li>Thielemann, D., <strong>Sengewald, M.-A.,</strong> Kappler, G. &amp; Steyer, R. (2017). A probit latent state IRT model with latent item-effect variables. <em>European Journal of Psychological Assessment, 33</em>(4), 271-284. <a href="https://doi.org/10.1027/1015-5759/a000417" data-mce-href="https://doi.org/10.1027/1015-5759/a000417">https://doi.org/1027/1015-5759/a000417</a><br data-mce-bogus="1"></li><li>Gast, A., Langer, S. &amp; <strong>Sengewald, M.-A.</strong> (2016). Evaluative conditioning increases with temporal contiguity. The influence of stimulus order and stimulus interval on evaluative conditioning. <em>Acta Psychologica, 170</em>, 177-185. <a href="https://doi.org/10.1016/j.actpsy.2016.07.002" data-mce-href="https://doi.org/10.1016/j.actpsy.2016.07.002">https://doi.org/10.1016/j.actpsy.2016.07.002</a><br data-mce-bogus="1"></li><li>Pohl, S., <strong>Sengewald, M.-A.</strong> &amp; Steyer, R. (2016)<em>. </em>Adjustment when Covariates are Fallible. In W. Wiedermann &amp; A. von Eye (Hrsg.), <em>Statistics and Causality: Methods for Applied Empirical Research </em>(pp. 363-384). Hoboken, NJ: Wiley.</li></ol>
Selected Presentations
<ol><li><strong>Sengewald, M.-A.</strong>, &amp; Mayer, A. (2021, September). Benefits of Latent Variable Models for Causal Effect Analysis in Large Scale Assessments. Vortrag auf der 15. Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie (DGPs), Online.</li><li><strong>Sengewald, M.-A.</strong>, &amp; Mayer, A. (2021, June). The impact of measurement error for causal effect analysis: An illustration with NEPS data. Oral Presentation at the 6th international NEPS conference Online.</li><li>Erhardt, T. H., &amp; <strong>Sengewald, M.-A.</strong> (2021, März). Item-effect variables and their correlation patterns. Vortrag auf dem 1. Methoden-Retreat für Jungwissenschaftler*innen der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie (DGPs), Online.</li><li><strong>Sengewald, M.-A.</strong>, &amp; 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.</li><li><strong>Sengewald, M.-A.</strong>, &amp; 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.</li><li><strong>Sengewald, M.-A.</strong>, &amp; 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</li><li><strong>Sengewald, M.-A.</strong> &amp; Pohl, S. (2016, März). Kovariatenselektion in nicht-randomisierten Studien mit unreliablen Kovariaten. Präsentation auf der 4. Tagung der Gesellschaft für Empirische Bildungsforschung (GEBF), Berlin, Deutschland.</li><li>Thielemann, D., Steyer, R. &amp; <strong>Sengewald, M.-A.</strong> (2015, September). Latente personenspezifische Itemparameter als Erweiterung des Rasch Modells. Vortrag auf der 12. Tagung der Fachgruppe Methoden und Evaluation der Deutschen Gesellschaft für Psychologie (DGPs), Jena, Deutschland.</li><li><strong>Sengewald, M.-A.</strong>, Pohl, S., &amp; Steiner, P. M. (2014, July). On the importance of modeling latent covariates in ANCOVA and Propensity score analysis. Paper presented at the VI European Congress of Methodology of the European Association of Methodology (EAM), Utrecht, Netherlands.</li><li>Pohl, S. &amp; <strong>Sengewald, M.-A.</strong> (2014, May). On the importance of adjustment for latent covariates. Invited talk at the ’Conference on Statistics and Causality’, University of Vienna, Austria.</li><li><strong>Sengewald, M.-A.</strong>, Pohl, S., Reuter, F. &amp; Steiner, P. M. (2012, July). Accounting for fallible covariates in ANCOVA and Propensity Score methods. Paper presented at the Symposium ’Conditional and Direct Causal Effects’, Dornburg, Germany.</li><li>Pohl, S., <strong>Milde, M.-A.</strong>, Reuter, F. &amp; Steiner, P. M. (2010, July). Adjustment using latent covariates. Oral presentation given at the IV European Congress of Methodology of the European Association of Methodology (EAM) jointly with the 27th Meeting of the Society for Multivariate Analysis in the Behavioural Sciences (SMABS), Potsdam, Germany.</li></ol>
Third-Party Funded Projects
<p><a href="https://www.lifbi.de/Institut/Organisation/Abteilung-FDZ-Methodenentwicklung/P%C3%A4dagogisch-Psychologische-Methoden/Konzeptuelle-Replikationen" data-mce-href="../../Institut/Organisation/Abteilung-FDZ-Methodenentwicklung/P%C3%A4dagogisch-Psychologische-Methoden/Konzeptuelle-Replikationen">DFG Projekt: Conceptual Replications</a><br data-mce-bogus="1"></p>