Application of structural equation modelling in Iranian tourism researches: challenges and guidelines

Seyyed Mohammad Mirtaghian Rudsari and Naji Gharibi

International Journal of Data Mining, Modelling and Management, 2021, vol. 13, issue 4, 364-387

Abstract: The main purpose of this study is to identify and analyse the challenges in using structural equation modelling (SEM) in tourism research in Iran. The paper examines how Iranian scholars have used the technique, using a sample of 172 papers published in the top five tourism journals published in Farsi (i.e., Persian). The results indicate that often there is a lack of discussion as to sample size, issues of normality of distribution, effect analysis, the role of coefficients of determination, and additionally selective and arbitrary reporting of fit indices are not uncommon. The paper also emphasises the role of theory in constructing such models.

Keywords: structural equation modelling; SEM; covariance-based SEM; partial least squares; challenges and misuse; Iranian tourism research. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=119627 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:13:y:2021:i:4:p:364-387

Access Statistics for this article

More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().