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High-order PLS path model with qualitative external information

Author

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  • Enrico Ciavolino

  • Maurizio Carpita

  • Mariangela Nitti

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. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Enrico Ciavolino & Maurizio Carpita & Mariangela Nitti, 2015. "High-order PLS path model with qualitative external information," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1609-1620, July.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1609-1620
    DOI: 10.1007/s11135-014-0068-x
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    References listed on IDEAS

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    1. Sara Depedri & Ermanno Tortia & Maurizio Carpita, 2010. "Incentives, job satisfaction and performance: empirical evidence in italian social enterprises," Euricse Working Papers 1012, Euricse (European Research Institute on Cooperative and Social Enterprises).
    2. Maurizio Carpita & Silvia Golia, 2012. "Measuring the quality of work: the case of the Italian social cooperatives," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1659-1685, October.
    3. Paul, Maureen, 2006. "A cross-section analysis of the fairness-of-pay perception of UK employees," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(2), pages 243-267, April.
    4. Yoshio Takane & Tadashi Shibayama, 1991. "Principal component analysis with external information on both subjects and variables," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 97-120, March.
    5. Enrico Ciavolino & Amjad Al-Nasser, 2009. "Comparing generalised maximum entropy and partial least squares methods for structural equation models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(8), pages 1017-1036.
    6. Tortia, Ermanno C., 2008. "Worker well-being and perceived fairness: Survey-based findings from Italy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(5), pages 2080-2094, October.
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    Cited by:

    1. Corrado Crocetta & Laura Antonucci & Rosanna Cataldo & Roberto Galasso & Maria Gabriella Grassia & Carlo Natale Lauro & Marina Marino, 2021. "Higher-Order PLS-PM Approach for Different Types of Constructs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 725-754, April.
    2. Paola Pasca & Evelyn Simone & Enrico Ciavolino & Alessia Rochira & Terri Mannarini, 2023. "A higher-order model of community resilience potential: development and assessment through confirmatory composite analysis based on partial least squares," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1033-1054, April.
    3. Nauman Majeed & Samia Jamshed, 2023. "Heightening citizenship behaviours of academicians through transformational leadership: Evidence based interventions," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 575-606, December.
    4. Enrico Ciavolino & Gloria Lagetto & Andrea Montinari & Amjad D. Al-Nasser & Amer I. Al-Omari & Matteo J. Zaterini & Sergio Salvatore, 2020. "Customer satisfaction and service domains: a further development of PROSERV," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1429-1444, December.
    5. Jun-Hwa Cheah & Hiram Ting & T. Ramayah & Mumtaz Ali Memon & Tat-Huei Cham & Enrico Ciavolino, 2019. "A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1421-1458, May.
    6. Majid Ghasemy & Hazri Jamil & James E. Gaskin, 2021. "Have your cake and eat it too: PLSe2 = ML + PLS," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 497-541, April.
    7. Enrico Ciavolino & Sergio Salvatore & Piergiorgio Mossi & Gloria Lagetto, 2019. "High-order PLS path model for multi-group analysis: the prosumership service quality model," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2371-2384, September.
    8. Enrico Ciavolino & Artur Roland Kozłowski & Cosima Valentino & Gianfranco Gatti & Grzegorz Krzykowski & Grahame Fallon, 2025. "Analyzing the conceptual model for support for the EU membership in Poland using PLS-SEM," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(6), pages 5603-5621, December.
    9. Mattia Cefis & Mario Angelelli & Maurizio Carpita & Enrico Ciavolino, 2025. "Detecting Causal Relations Among Indicators with the CTA Test: Simulations and Applications," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 178(1), pages 393-417, May.
    10. Maurizio Carpita & Enrico Ciavolino & Mariangela Nitti, 2019. "The MIMIC–CUB Model for the Prediction of the Economic Public Opinions in Europe," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 287-305, November.
    11. Sharon Tan & Evan Lau & Hiram Ting & Jun-Hwa Cheah & Biagio Simonetti & Tan Hiok Lip, 2019. "How Do Students Evaluate Instructors’ Performance? Implication of Teaching Abilities, Physical Attractiveness and Psychological Factors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 61-76, November.

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