Statistical Inference of Latent Structures
J.-Prof. Dr. Tamara Schamberger
Juniorprofessor for Statistiscal Inference of Latent Structures
tamara.schamberger@uni-bielefeld.de
Room
V9 - 134
Phone
+49521/106-4877
Research Interests
- Structural Equation Modeling (SEM): Development, evaluation, and application of advanced methodological frameworks for multivariate data analysis.
- Reflective vs. Formative Models: Investigating the statistical properties, estimation challenges, and substantive implications of different conceptualizations of constructs.
- Interdisciplinarity: Bridging the gap between advanced psychometric theory and empirical application.
Short CV
Since 10/2026: Assistant Professor for Statistical Inference on Latent Structures, Bielefeld University
07/2023 – 09/2026: Postdoctoral Researcher in the Data Science Group, Bielefeld University
07/2022 – 06/2023: Postdoctoral Researcher at the Chair of Econometrics, University of Würzburg
10/2017 – 06/2022: PhD Student at the Chair of Econometrics, University of Würzburg and the Chair of Product-Market Relations, University of Twente
10/2015 – 09/2017: MSc in Economathematics, University of Würzburg
10/2012 – 09/2017: BSc in Economathematics, University of Würzburg
Publications
- Marchi, H., Schmiegel, S., Schamberger, T., Fuchs, C. (2026). Validating Methods for Inferring Co-Occurring Diseases: A Flexible Framework for Simulating Synthetic Data, BMC Medical Research Methodology, 26:184, https://doi.org/10.1186/s12874-026-02966-2
- Adam, T.*, Bauer, J.*, Deutscher, C.*, Fuchs, C.*, Schamberger, T.*, Winkelmann, D.* (2026). Measuring Football Fever Through Wearable Technology, Scientific Reports, 16: 3866, https://doi.org/10.1038/s41598-026-36182-1
- Schamberger, T., Schuberth, F., Henseler, J. (2026). Moderated Mediation with Composites: The Composite Moderated Structural Equations Approach, Behavior Research Methods, 58:104, https://doi.org/10.3758/s13428-025-02930-w
- Schuberth, F., Schamberger, T., Kemény, I., Henseler, J. (2025). The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling. Psychometrika. 90(1): 358-383. https://doi.org/10.1017/psy.2024.5
- Schuberth, F., Schamberger, T., Hensler, J. (2024). More Powerful ParameterTests? No, Rather Biased Parameter Estimates. Some Reflections on Path Analysis With Weighted Composites. Behavior Research Methods, 56: 4205-4215, https://doi.org/10.3758/s13428-023-02256-5
- Schuberth, F., Hubona, G., Roemer, E., Zaza, S., Schamberger, T., Chuah, F., Cepeda-Carrión, G., Henseler, J. (2023). The Choice of Structural Equation Modeling Technique Matters: A Commentary on Dash and Paul (2021). Technological Forecasting and Social Change, 194: 122665, https://doi.org/10.1016/j.techfore.2023.122665
- Schamberger, T. (2023). Conducting Monte Carlo Simulations for PLS-PM and Other Variance-Based Estimators for Structural Equation Modeling. Industrial Management & Data Systems, 123(6): 1789-1813, https://doi.org/10.1108/IMDS-07-2022-0418
- Schuberth, F., Schamberger, T., Rönkkö, M., Liu, Y., Henseler, J. (2023). Premature Conclusions About the Signal-to-Noise Ratio in Structural Equation Modeling Research: A Commentary on Yuan and Fang (2023). British Journal of Mathematical and Statistical Psychology, 76: 682-694, http://doi.org/10.1111/bmsp.12304
- Schamberger, T., Schuberth, F., Henseler, J. (2023). Confirmatory Composite Analysis in Human Development Research, International Journal of Behavioral Development 47(1): 89-100. https://doi.org/10.1177/01650254221117506
- Schamberger, T., Schuberth, F., Henseler, J., Dijkstra, T. K. (2020). Robust Partial Least Squares Path Modeling, Behaviormetrika 47: 307-334, https://doi.org/10.1007/s41237-019-00088-2
Working Papers
- Bauer, J., Mayer, A., Fuchs, C., and Schamberger, T. (2025). Misspecification in Structural Equation Modeling: The Choice of Latent Variables, Causal-Formative Constructs or Composites (preprint: https://doi.org/10.48550/arXiv.2507.21998)
- Schamberger, T., Schuberth, F., Henseler, J., Rosseel, Y. (2025). Factor- and Composite-Based Structural Equation Modeling - A New Approach to Incorporate Composites in the Traditional SEM Framework (preprint: https://doi.org/10.48550/arXiv.2508.06112)
- Henseler, J., Xi, Y., Schamberger, T., Hancock, G.R., Schuberth, F. (2025). Specifying Composites in Structural Equation Modeling: Traditional, Recent and New Approaches (preprint, https://doi.org/10.48550/arXiv.2509.01292)
- Alaze, A., Hagen, D., Schamberger, T., Razum, O., Miani, C. (2025). Empirical Validation of a Conceptual Framework Linking Gendered Pathways to Adolescent Mental Health Using Cross- Sectional Data from Ethiopia