Horst Complex

dr. F. Schuberth (Florian)

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

I completed my PhD at the Chair of Econometrics (Prof. Dr. Kukuk) with "summa cum laude" in 2017. My research focuses on exploiting the untapped potential of composites in the context of structural equation modeling. Research outcomes include my developments Confirmatory Composite Analysis and the "Henseler-Ogasawara specification". I am also an expert in partial least squares path modeling (PLS), a widely used estimator for structural equation models. I have contributed several developments to PLS such OrdPLSc and robustPLSc, and offered several workshops on its use.

Making my research openly available is an important issue to me. Therefore, I have developed the R package cSEM, which allows researchers to perform PLS in R. For more information, see my GitHub profile and the Open Science Framework.

Apart from my research activities,  I am also a passionate and enthusiastic teacher. I am currently coordinating and teaching various courses on quantitative research methods.

In 2022 I 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

My research focuses on structural equation modeling (SEM) and particularly on exploiting the untapped potential of composites in this context. Research outcomes include my developments Confirmatory Composite Analysis, the Henseler-Ogasawara specification, and the HTMT2. I am also an expert in partial least squares path modeling (PLS-PM), a widely used estimator for structural equation models. I have contributed several developments to PLS-PM such OrdPLSc and robustPLSc.

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

Navigate to location

Organisations

Scan the QR code or
Download vCard