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Structural Equation Modeling: A Practical Introduction

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  • Shaun McQuitty
  • Marco Wolf

Abstract

Structural equation modeling (SEM) is a popular statistical technique that has become an essential tool for business academics and practitioners. The technique is particularly well suited for evaluating the relationships among any number of observed and latent variables. Thus, typical applications for SEMs are model and theory testing, and scale development. The purpose of this article is to introduce the technique and to explain its use in practical terms that do not require a strong statistical background. Two previous Journal of African Business articles are used to demonstrate SEM applications, and the article concludes with a brief introduction to SEM software packages.

Suggested Citation

  • Shaun McQuitty & Marco Wolf, 2013. "Structural Equation Modeling: A Practical Introduction," Journal of African Business, Taylor & Francis Journals, vol. 14(1), pages 58-69, April.
    • Handle: RePEc:taf:wjabxx:v:14:y:2013:i:1:p:58-69
    DOI: 10.1080/15228916.2013.765325
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    Citations

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    Cited by:

    1. Shaun McQuitty, 2018. "The Purposes of Multivariate Data Analysis Methods: an Applied Commentary," Journal of African Business, Taylor & Francis Journals, vol. 19(1), pages 124-142, January.
    2. Kattreeya Chanpariyavatevong & Warit Wipulanusat & Thanapong Champahom & Sajjakaj Jomnonkwao & Dissakoon Chonsalasin & Vatanavongs Ratanavaraha, 2021. "Predicting Airline Customer Loyalty by Integrating Structural Equation Modeling and Bayesian Networks," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    3. Yogi Tri Prasetyo & Ardvin Kester S. Ong & Giero Krissianne Frances Concepcion & Francheska Mikaela B. Navata & Raphael Andrei V. Robles & Isaiash Jeremy T. Tomagos & Michael Nayat Young & John Franci, 2021. "Determining Factors Affecting Acceptance of E-Learning Platforms during the COVID-19 Pandemic: Integrating Extended Technology Acceptance Model and DeLone & McLean IS Success Model," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    4. Ching-Hua Yeh & Monika Hartmann, 2021. "To Purchase or Not to Purchase? Drivers of Consumers’ Preferences for Animal Welfare in Their Meat Choice," Sustainability, MDPI, vol. 13(16), pages 1-25, August.
    5. Ioanna Roussou & Emmanouil Stiakakis & Angelo Sifaleras, 2019. "An empirical study on the commercial adoption of digital currencies," Information Systems and e-Business Management, Springer, vol. 17(2), pages 223-259, December.
    6. Yusef Ali Yusef Yakubi & Basuki Basuki & Rudi Purwono & Indrianawati Usman, 2022. "The Impact of Digital Technology and Business Regulations on Financial Inclusion and Socio-Economic Development in Low-Income Countries," SAGE Open, , vol. 12(3), pages 21582440221, August.
    7. Ateufack Djogho Ramecesse, 2021. "Corporate Social Responsibility and Firm Performance in SMEs: Empirical Evidence from Cameroon," Business and Economic Research, Macrothink Institute, vol. 11(3), pages 88-105, December.

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