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Some remarks on measurement models in the structural equation model: an application for socially responsible food consumption

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  • Pasquale Sarnacchiaro
  • Flavio Boccia

Abstract

Considering the structural equation model (SEM), usually the main researches are based on the structural model rather than on the measurement one. So, this context implies some problems: construct misspecification, identification and validation. Starting from the most recent articles in terms of these issues, we achieve – and formalize through two tables – a general framework that could help researchers select and assess both formative and reflective measurement models with special attention on statistical implications. To show this general framework, we present a survey on customer behaviours for socially responsible food consumption. The survey was carried out by delivering a questionnaire administered to a representative sample of 332 families. In order to detect the main aspects impacting consumers’ preferences, a factor analysis has been performed. Then the general framework has been used to select and assess the measurement models in SEM. The estimation of the SEM has been worked out by partial least squares. The significance of the indicators has been tested using bootstrap. As far as we know, it is the first time that a model for the analysis of the consumers’ behaviour for social responsibility is formalized through a SEM.

Suggested Citation

  • Pasquale Sarnacchiaro & Flavio Boccia, 2018. "Some remarks on measurement models in the structural equation model: an application for socially responsible food consumption," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(7), pages 1193-1208, May.
    • Handle: RePEc:taf:japsta:v:45:y:2018:i:7:p:1193-1208
    DOI: 10.1080/02664763.2017.1363162
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    Citations

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    Cited by:

    1. Daniela Covino & Flavio Boccia & Immacolata Viola, 2021. "Genetically modified and socially responsible foods: A significant relationship for consumer?s preferences," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2), pages 371-383.
    2. Haibei Chen & Xianglian Zhao, 2023. "Use intention of green financial security intelligence service based on UTAUT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10709-10742, October.
    3. Simona Franzoni & Huma Sarwar & Muhammad Ishtiaq Ishaq, 2021. "The Mediating Role of HRM in the Relationship between CSR and Performance in the Hospitality Industry," Sustainability, MDPI, vol. 13(24), pages 1-15, December.
    4. Carlo Cavicchia & Pasquale Sarnacchiaro, 2022. "A multi-group higher-order factor analysis for studying the gender-effect in Teacher Job Satisfaction," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 23-38, April.
    5. Kenichi Kashiwagi & Erina Iwasaki, 2024. "Industrial linkage, vertical integration and firm performance: evidence from textile and garment industry in Egypt," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 803-828, February.
    6. Kristia Kristia & Sándor Kovács & Zoltán Bács & Mohammad Fazle Rabbi, 2023. "A Bibliometric Analysis of Sustainable Food Consumption: Historical Evolution, Dominant Topics and Trends," Sustainability, MDPI, vol. 15(11), pages 1-24, June.
    7. Flavio Boccia & Pasquale Sarnacchiaro, 2020. "Chi‐squared automatic interaction detector analysis on a choice experiment: An evaluation of responsible initiatives on consumers' purchasing behavior," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 1143-1151, March.
    8. Flavio Boccia & Rosa Malgeri Manzo & Daniela Covino, 2019. "Consumer behavior and corporate social responsibility: An evaluation by a choice experiment," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 97-105, January.

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