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Schamberger Cantaluppi Schuberth - Revisiting and extending PLS for ordinal measurement and prediction

Year: 2024

Type: preprint

Abstract: The 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_6

Source: OSF Preprints (OSF Preprints)

DOI: 10.17605/osf.io/tmf2g

Authors: Schamberger, Tamara, Schuberth, Florian, Cantaluppi, Gabriele

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6906381430

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