1,841 research outputs found
Schuberth Schamberger Kemeny Henseler - The Sum Score Model
No full textThis repository contains the data files, R codes and results of the scenario analysis presented in Schuberth et al. (accepted).
Reference:
Schuberth, Florian; Schamberger, Tamara; Kemény, Ildikó; Henseler, Jörg (accepted). The sum score model: Specifying and testing equally weighted composites using structural equation modeling. Psychometrika
Schuberth Schamberger Kemeny Henseler - The Sum Score Model
No full textThis repository contains the data files, R codes and results of the scenario analysis presented in Schuberth et al. (accepted).
Reference:
Schuberth, Florian; Schamberger, Tamara; Kemény, Ildikó; Henseler, Jörg (accepted). The sum score model: Specifying and testing equally weighted composites using structural equation modeling. Psychometrika
Yu Schuberth Henseler - A flexible way to Study Composites in Ecology using Structural Equation Modeling
No full textThis repository contains a zip file which includes the R syntax file to reproduce the results of Yu et al. (2025).
Reference:
Xi, Yu; Schuberth, Florian; Henseler, Jörg (2025). A flexible way to study composites in ecology using structural equation modeling. Scientific Reports, 15(4597). https://doi.org/10.1038/s41598-025-88675-
Schamberger Cantaluppi Schuberth - Revisiting and extending PLS for ordinal measurement and prediction
No full textThe repository contains the results of Schamberger et al. (2023).
Schamberger, Tamara; Cantaluppi, Gabriele; Schuberth, Florian (2023). Revisiting and Extending PLS for Ordinal Measurement and Prediction. In Latan, Hengky; Hair, Joseph F.; Noonan, Richard (Eds.), Partial Least Squares Path Modeling – Basic Concepts, Methodological Issues and Applications (2nd edition), Springer Nature, 155-182. https://doi.org/10.1007/978-3-031-37772-3_
Clarke et al. - An Introduction to Confirmatory Composite Analysis for Patient-Reported Outcomes
No full textSupplementary files for Clarke et al. (in press)
Reference:
Clarke, Nathan; Schuberth, Florian; Hoare, Derek J.; Trigg, Andrew (accepted). An introduction to confirmatory composite analysis for patient-reported outcomes with illustrative analysis. Advances in Patient-Reported Outcomes
Yu Schuberth Henseler - Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification
No full textThis repository contains the supplementary files of Yu et al. (2023).
Yu, X., Schuberth, F. & Henseler, J. (2023). Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification. Statistical Analysis and Data Mining, 16(4), 348–357. https://doi.org/10.1002/sam.1160
Ordinal Consistent Partial Least Squares
Get PDFIn this chapter, we present a new variance-based estimator called ordinal consistent partial least squares (OrdPLSc). It is a promising combination of consistent partial least squares (PLSc) and ordinal partial least squares (OrdPLS), respectively, which is capable to deal in structural equation models with common factors, composites, and ordinal categorical indicators. Besides providing the theoretical background of OrdPLSc, we present three approaches to obtain constructs scores from OrdPLS and OrdPLSc, which can be used, e.g., in importance-performance matrix analysis. Finally, we show its behavior on an empirical example and provide a practical guidance for the assessment of SEMs with ordinal categorical indicators in the context of OrdPLSc
Schuberth, F.; Schamberger, T.; Henseler, J.. More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites. Behavior Research Methods.
No full textHere you can find the R code used in the commentary of Schuberth et al. (accepted) on the article of Deng & Yuan (2022).
References:
Deng, L. and Yuan, K.-H. (2022). “Which method is more powerful in testing the relationship of theoretical constructs? A meta comparison of structural equation modeling and path analysis with weighted composites,” Behavior Research Methods. doi: 10.3758/s13428-022-01838-z.
Schuberth, F.; Schamberger, T; Henseler, J. (2023). More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites. Behavior Research Methods. doi: 10.3758/s13428-023-02256-5
sj-pdf-1-jbd-10.1177_01650254221117506 – Supplemental material for Confirmatory composite analysis in human development research
No full textSupplemental material, sj-pdf-1-jbd-10.1177_01650254221117506 for Confirmatory composite analysis in human development research by Tamara Schamberger, Florian Schuberth and Jörg Henseler in International Journal of Behavioral Development</p
Yu Schuberth Henseler - Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification
No full textThis repository contains the supplementary files of Yu et al. (2023).
Yu, X., Schuberth, F. & Henseler, J. (2023). Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification. Statistical Analysis and Data Mining, 16(4), 348–357. https://doi.org/10.1002/sam.1160
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