Welkom...

dr. F. Schuberth (Florian)

Universitair docent

Expertises

Business & Economics
Information Systems Research
Modeling
Monte Carlo Simulation
Partial Least Squares
Structural Equation Modeling
Mathematics
Partial Least Squares
Structural Equation Modeling
Social Sciences
Structural Model

Publicaties

Recent
Henseler, J. , Schuberth, F., Lee, N., & Kemény, I. (Accepted/In press). Why researchers should be cautious about using PLS-SEM. Industrial marketing management.
Schuberth, F. (2023). A new approach for specifying composites in structural equation models: The Henseler–Ogasawara Specification. Abstract from 10th European Congress of Methodology, EAM 2023, Ghent, Belgium.
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, Article 122665. https://doi.org/10.1016/j.techfore.2023.122665
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(3), 682-694. https://doi.org/10.1111/bmsp.12304

Pure Link

Google Scholar Link

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20), kamer W246
De Horst 2
7522LW  Enschede

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Postadres

Universiteit Twente
Faculty of Engineering Technology
Horst Complex  W246
Postbus 217
7500 AE Enschede