IRIS PubliCatt
PubliCatt è il repository istituzionale ad accesso aperto dell'Università Cattolica del Sacro Cuore, dove gli utenti autorizzati afferenti all'Ateneo provvedono direttamente e autonomamente a depositare e a rendere visibili le proprie pubblicazioni, inserendo i dati descrittivi del documento stesso ("metadati", quali il titolo, autore, abstract, etc.) e, laddove possibile, il testo della pubblicazione stessa (full-text).
PubliCatt utilizza la piattaforma IRIS (Institutional Research Information System) sviluppata da CINECA.
EnglishThe partial least squares (PLS) is a popular path modeling technique commonly used in social sciences. The traditional PLS algorithm deals with variables measured on interval scales while data are often collected on ordinal scales. A reformulation of the algorithm, named Ordinal PLS (OrdPLS), is introduced, which properly deals with ordinal variables. Some simulation results show that the proposed technique seems to perform better than the traditional PLS algorithm applied to ordinal data as they were metric, in particular when the number of categories of the items in the questionnaire is small (4 or 5) which is typical in the most common practical situations.
Cantaluppi, G., Boari, G., A Partial Least Squares Algorithm Handling Ordinal Variables, in Abdi, H., Esposito Vinzi, V., Russolillo, G., Saporta, G., Trinchera, L. (ed.), The Multiple Facets of Partial Least Squares and Related Methods, Springer International Publishing, Cham 2016: 295- 306. 10.1007/978-3-319-40643-5_22 [http://hdl.handle.net/10807/94178]
| Autori: | ||
| Titolo: | A Partial Least Squares Algorithm Handling Ordinal Variables | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1007/978-3-319-40643-5_22 | |
| Data di pubblicazione: | 2016 | |
| Abstract: | The partial least squares (PLS) is a popular path modeling technique commonly used in social sciences. The traditional PLS algorithm deals with variables measured on interval scales while data are often collected on ordinal scales. A reformulation of the algorithm, named Ordinal PLS (OrdPLS), is introduced, which properly deals with ordinal variables. Some simulation results show that the proposed technique seems to perform better than the traditional PLS algorithm applied to ordinal data as they were metric, in particular when the number of categories of the items in the questionnaire is small (4 or 5) which is typical in the most common practical situations. | |
| Lingua: | Inglese | |
| Titolo del libro: | The Multiple Facets of Partial Least Squares and Related Methods | |
| Editore: | Springer International Publishing | |
| ISBN: | 978-3-319-40641-1 | |
| Citazione: | Cantaluppi, G., Boari, G., A Partial Least Squares Algorithm Handling Ordinal Variables, in Abdi, H., Esposito Vinzi, V., Russolillo, G., Saporta, G., Trinchera, L. (ed.), The Multiple Facets of Partial Least Squares and Related Methods, Springer International Publishing, Cham 2016: 295- 306. 10.1007/978-3-319-40643-5_22 [http://hdl.handle.net/10807/94178] | |
| Appare nelle tipologie: | In libro con curatela: Capitolo o saggio; Prefazione/Postfazione; Breve introduzione; Schede di catalogo, repertorio o corpus |
File in questo prodotto:
| File | Descrizione | Tipologia | Note | Licenza | |
|---|---|---|---|---|---|
| CantaluppiBoari.pdf | Versione Editoriale (PDF) | Nessuna Nota | Non specificato | Administrator |
http://hdl.handle.net/10807/94178
Copyright © 2022