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

被引：0

作者：

Rudsari, Seyyed Mohammad Mirtaghian ^{[1
]}

Gharibi, Naji ^{[2
]}

机构：

[1] Allameh Tabatabai Univ, Fac Management & Accounting, Tehran, Iran

[2] Victoria Univ Wellington, PhD Room,Level 1,Rutherford House,Pipitea Campus, Wellington, New Zealand

来源：

INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT | 2021年 / 13卷 / 04期

关键词：

structural equation modelling; SEM; covariance-based SEM; partial least squares; challenges and misuse; Iranian tourism research; SAMPLE-SIZE; PLS-SEM; FIT; HOSPITALITY; VARIABLES; SPECIFICATION; NONNORMALITY; COVARIANCE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：364 / 387

页数：24

共 62 条

[1]

Albright J.J., 2006, Confirmatory factor analysis using AMOS, LISREL

[2] A comparative study of covariance and partial least squares based structural equation modelling in hospitality and tourism research [J].