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Florian Schuberth

 https://orcid.org/0000-0002-2110-9086
Calculated based on number of publications stored in Pure and citations from Scopus
20162024

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  • 2023

    Revisiting and Extending PLS for Ordinal Measurement and Prediction

    Schamberger, T., Cantaluppi, G. & Schuberth, F., 2023, Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications. Latan, H., Hair, J. F. J. & Noonan, R. (eds.). 2nd ed. Springer

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    27 Downloads (Pure)
  • 2021

    Which equations? An inquiry into the equations in partial least squares structural equation modeling

    Schuberth, F., Müller, T. & Henseler, J., 2021, New Perspectives in Serving Customers, Patients, and Organizations: A Festschrift for Judit Simon. Kemény, I. & Kun, Z. (eds.). Budapest: Corvinus University of Budapest, p. 96-115

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

    Open Access
    File
    197 Downloads (Pure)
  • 2020

    Auxiliary theories

    Henseler, J. & Schuberth, F., 2020, Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables. Henseler, J. (ed.). New York, NY: Guilford Press, p. 25-37 (Methodology in the Social Sciences Series).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

  • Confirmatory composite analysis

    Henseler, J. & Schuberth, F., 2020, Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables. Henseler, J. (ed.). New York, NY: Guilford Press, p. 180-202 (Methodology in the Social Sciences Series).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

  • 2019

    A prediction method for ordinal consistent partial least squares

    Cantaluppi, G. & Schuberth, F., 2019, Smart Statistics for Smart Applications: Book of Short Papers SIS2019. Arbia, G., Peluso, S., Pini, A. & Rivellini, G. (eds.). Pearson, p. 725-730 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    4 Downloads (Pure)
  • 2018

    New guidelines for the use of PLS path modeling in hospitality, travel and tourism research

    Henseler, J., Müller, T. & Schuberth, F., 14 Dec 2018, Application of partial least squares : Structural equation modeling (PLS-SEM) in tourism and hospitality research. Ali, F., Rasoolimanesh, S. M. & Cobanoglu, C. (eds.). Emerald, p. 17-33 17 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    32 Citations (Scopus)
    38 Downloads (Pure)
  • 2017

    Ordinal Consistent Partial Least Squares

    Schuberth, F. & Cantaluppi, G., 2017, Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications. Latan, H. & Noonan, R. (eds.). Springer, p. 109-150 42 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

    Open Access
    File
    9 Citations (Scopus)
    146 Downloads (Pure)