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

  • Psychology

    • Research
    • Assessment
    • Measurement

  • Computer Science

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

  • Social Sciences

    • Analysis

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

2024

The effect of measurement error on hypothesis testing in small sample structural equation modeling: A comparison of various estimation approaches (2024)Structural equation modeling (E-pub ahead of print/First online). Bogaert, J., Loh, W. W., Schuberth, F. & Rosseel, Y.https://doi.org/10.1080/10705511.2024.2398759More powerful parameter tests?: No, rather biased parameter estimates. Some reflections on path analysis with weighted composites (2024)Behavior research methods, 56(4), 4205-4215. Schuberth, F., Schamberger, T. & Henseler, J.https://doi.org/10.3758/s13428-023-02256-5Should PLS become factor-based or should CB-SEM become composite-based? Both! (2024)European journal of information systems (E-pub ahead of print/First online). Henseler, J. & Schuberth, F.https://doi.org/10.1080/0960085X.2024.2357123When and how to use confirmatory composite analysis (CCA) in second language research (2024)Studies in Second Language Acquisition, 46(2), 597-616. Alamer, A., Schuberth, F. & Henseler, J.https://doi.org/10.1017/S0272263124000020Recognising Open Science practices in higher education staff assessment (2024)[Dataset Types › Dataset]. Zenodo. Öztürk, Z., Plomp, E., Schuberth, F., Sunami, N. & Yankelevich, T.https://doi.org/10.5281/zenodo.10904113Categorizing Behavioral and Formed Concepts in Sports Marketing Research (2024)International journal of sports marketing & sponsorship, 25(2), 310-329. Müller, T., Schuberth, F. & Henseler, J.https://doi.org/10.1108/IJSMS-10-2022-0188The Sum Score Model: Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling (2024)Psychometrika (Accepted/In press). Schuberth, F., Schamberger, T. S., Kemény, I. & Henseler, J.Why researchers should be cautious about using PLS-SEM (2024)Industrial marketing management (Accepted/In press). Henseler, J., Schuberth, F., Lee, N. & Kemény, I.

2023

IT impact on open innovation performance: Insights from a large-scale empirical investigation (2023)Decision support systems, 175. Article 114025. Castillo, A., Ruiz, L., Benitez, J., Schuberth, F. & Reina, R.https://doi.org/10.1016/j.dss.2023.114025Premature Conclusions about the Signal-to-Noise Ratio in Structural Equation Modeling Research: A Commentary on Yuan and Fang (2023) (2023)British journal of mathematical and statistical psychology, 76(3), 682-694. Schuberth, F., Schamberger, T., Rönkkö, M., Liu, Y. & Henseler, J.https://doi.org/10.1111/bmsp.12304

Research profiles

Address

University of Twente

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

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