Horst Complex

dr. F. Schuberth (Florian)

Associate Professor
ET-DPM-PMR
Horst Complex W246
f.schuberth@utwente.nl
+31534897846
Business card

Florian Schuberth is an Associate Professor at the Chair of Product–Market Relations. His research focuses on exploiting the untapped potential of composites in the context of structural equation modeling. In addition to his research activities,  Florian Schuberth is a passionate and enthusiastic teacher. He currently coordinates and teaches several courses on quantitative research methods.

Florian Schuberth received his Bachelor's degree in Business Administration and Economics and his Master's degree in Economics from the University of Würzburg, Germany. In 2017, he completed his PhD at the Chair of Econometrics (Prof. Dr. Kukuk) of the same university with "summa cum laude". 

Making his research openly available is an important issue for Florian Schuberth. Therefore, he has developed the R package cSEM, which allows researchers to perform PLS in R. For more information, see his GitHub profile and the Open Science Framework. In 2022 Florian Schuberth decided to take a more active role in the Open Science movement and became coordinator of the Open Science Community Twente. 

Expertise

  • Mathematics

    • Partial Least Squares
    • Common Factor

  • Computer Science

    • Structural Equation
    • Least Squares Methods
    • Models
    • Information Systems

  • Social Sciences

    • Analysis
    • Structural Equation Modeling

Organisations

Florian Schuberth's research focuses on structural equation modeling (SEM) and particularly on exploiting the untapped potential of composites in this context. Florian Schuberth's developments include Confirmatory Composite Analysis and the Henseler-Ogasawara specification to flexibly model composites in SEM. Moreover, Florian Schuberth has improved various methods. For example, he enhanced the HTMT used for discriminant validity assessment, known as HTMT2 and he modified partial least squares path modeling (PLS-PM), a widely used estimator for structural equation models, to deal with ordinal variables. Further, Florian Schuberth critically discusses statistical methods. As a result, he has co-authored several commentaries.

Publications

2025

A flexible way to study composites in ecology using structural equation modeling (2025)[Dataset Types › Dataset]. Zenodo. Schuberth, F., Henseler, J. & Yu, X.https://doi.org/10.5281/zenodo.15017664The effect of measurement error on hypothesis testing in small sample structural equation modeling: A comparison of various estimation approaches (2025)Structural equation modeling, 32(2), 215-236. Bogaert, J., Loh, W. W., Schuberth, F. & Rosseel, Y.https://doi.org/10.1080/10705511.2024.2398759The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling (2025)Psychometrika, 90(1), 358-383. Schuberth, F., Schamberger, T., Kemény, I. & Henseler, J.https://doi.org/10.1017/psy.2024.5A flexible way to study composites in ecology using structural equation modeling (2025)Scientific reports, 15. Article 4597 (E-pub ahead of print/First online). Yu, X., Schuberth, F. & Henseler, J.https://doi.org/10.1038/s41598-025-88675-0A maximum likelihood estimator for composite models (2025)[Contribution to conference › Abstract] German Probability and Statistics Days, GPSD 2025 (Accepted/In press). Schamberger, T., Schuberth, F., Rosseel, Y. & Henseler, J.Automated Specification Search for Composite-Based SEM (2025)[Contribution to conference › Abstract] Meeting of the Working Group Structural Equation Modeling (SEM) 2025. Trinchera, L., Pietropolli, G., Castelli, M. & Schuberth, F.Novel approaches to incorporate composites in structural equation modeling (2025)[Contribution to conference › Abstract] Meeting of the Working Group Structural Equation Modeling (SEM) 2025. Henseler, J., Schuberth, F., Yu, X., Schamberger, T. & Hancock, G. R.Specifying and testing differences between variables in structural equation modeling using the H-O specification (2025)[Contribution to conference › Abstract] Meeting of the Working Group Structural Equation Modeling (SEM) 2025. Fuchs, E., Schuberth, F. & Henseler, J.Statistical Inference for the Heterotrait-Monotrait Ratio Using the Delta Method (2025)[Contribution to conference › Abstract] Meeting of the Working Group Structural Equation Modeling (SEM) 2025. Berger, J. J., Kukuk, M., Henseler, J. & Schuberth, F.The Measured Latent Method Construct Approach to Control for Common Method Variance (2025)[Contribution to conference › Abstract] 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik, DAGStat 2025. Schamberger, T., Schuberth, F. & Henseler, J.

Research profiles

Florian Schuberth teaches mainly courses about quantitative research methods.

Affiliated study programs

Courses academic year 2025/2026

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2024/2025

Courses academic year 2023/2024

Address

University of Twente

Horst Complex (building no. 20), room W246
De Horst 2
7522 LW Enschede
Netherlands

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