Research Output per year
Fingerprint Dive into the research topics where Florian Schuberth is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Composite materials
Engineering & Materials Science
Method of moments
Engineering & Materials Science
Polynomials
Engineering & Materials Science
structural model
Social Sciences
simulation
Social Sciences
Maximum likelihood
Engineering & Materials Science
Group
Social Sciences
Modeling
Business & Economics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2016 2019
A prediction method for ordinal consistent partial least squares
Cantaluppi, G. & Schuberth, F., 2019, (Accepted/In press) Smart Statistics for Smart Applications: Book of Short Papers SIS2019. Arbia, G., Peluso, S., Pini, A. & Rivellini, G. (eds.). PearsonResearch output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
A test for multigroup comparison using partial least squares path modeling
Klesel, M., Schuberth, F., Henseler, J. & Niehaves, B., Jan 2019, In : Internet research. 29, 3, p. 464-477 IntR-11-2017-0418.Research output: Contribution to journal › Article › Academic › peer-review
Social sciences
Statistical tests
Group
Partial least squares
Modeling
Auxiliary theory for concepts of design research using emergent variables
Schuberth, F., 2019.Research output: Contribution to conference › Abstract › Academic
cSEM: A package for composite-based SEM
Rademaker, M. & Schuberth, F., 2019.Research output: Contribution to conference › Abstract › Academic
How to perform and report an impactful analysis using partial least squares? Guidelines for confirmatory and explanatory IS research
Benitez Amado, J., Henseler, J., Castillo, A. & Schuberth, F., 23 May 2019, In : Information and management. INFMAN_2017_818.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
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