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Quality & Quantity

Erschienen in:

01.07.2015

High-order PLS path model with qualitative external information

verfasst von: Enrico Ciavolino, Maurizio Carpita, Mariangela Nitti

Erschienen in: Quality & Quantity | Ausgabe 4/2015

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Abstract

A common situation in the analysis of latent constructs is the availability of external information about the data which could affect the model parameters’ estimation. In this paper a procedure for isolating these information based on the orthogonal projectors in the frame of second order PLS-PM is presented. An application to a case study in the field of the measurement of the subjective quality of work will show the way of functioning and the results obtained from the proposed procedure.

Vorheriger Artikel Structural and non-structural temporal evolution of socio-economic real networks

Nächster Artikel Determining critical success factors related to the effect of supply chain integration and competition capabilities on business performance

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In other terms, we consider the between-group variability but not the within-group variability of the fairness measures.

We have also considered others external information regarding the workers in the co-operatives (percentages of female, graduates and part-time, averages of seniority and wages), without observing differences for the estimated parameters of the two final models.

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Titel: High-order PLS path model with qualitative external information
verfasst von: Enrico Ciavolino
Maurizio Carpita
Mariangela Nitti
Publikationsdatum: 01.07.2015
Verlag: Springer Netherlands
Erschienen in: Quality & Quantity / Ausgabe 4/2015
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI: https://doi.org/10.1007/s11135-014-0068-x

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