Revisiting and Extending PLS for Ordinal Measurement and Prediction

Tamara Schamberger^*, Gabriele Cantaluppi, Florian Schuberth

^*Corresponding author for this work

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

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Original language	English
Title of host publication	Partial Least Squares Path Modeling
Subtitle of host publication	Basic Concepts, Methodological Issues and Applications
Editors	Hengky Latan, Joe F. Jr Hair, Richard Noonan
Publisher	Springer
Edition	2nd
ISBN (Electronic)	978-3-031-37772-3
ISBN (Print)	978-3-031-37771-6
DOIs	https://doi.org/10.1007/978-3-031-37772-3_6
Publication status	Published - 2023

Keywords

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title = "Revisiting and Extending PLS for Ordinal Measurement and Prediction",

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author = "Tamara Schamberger and Gabriele Cantaluppi and Florian Schuberth",

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language = "English",

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Revisiting and Extending PLS for Ordinal Measurement and Prediction. / Schamberger, Tamara ; Cantaluppi, Gabriele; Schuberth, Florian.
Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications. ed. / Hengky Latan; Joe F. Jr Hair; Richard Noonan. 2nd. ed. Springer, 2023.

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

TY - CHAP

T1 - Revisiting and Extending PLS for Ordinal Measurement and Prediction

AU - Schamberger, Tamara

AU - Cantaluppi, Gabriele

AU - Schuberth, Florian

PY - 2023

Y1 - 2023

KW - 2023 OA procedure

U2 - 10.1007/978-3-031-37772-3_6

DO - 10.1007/978-3-031-37772-3_6

M3 - Chapter

SN - 978-3-031-37771-6

BT - Partial Least Squares Path Modeling

A2 - Latan, Hengky

A2 - Hair, Joe F. Jr

A2 - Noonan, Richard

PB - Springer

ER -