Comparison of Covariance-Based and Partial Least Square Structural Equation Modeling Methods under Non-Normal Distribution and Small Sample Size Limitations

Mustafa Emre Cä°velek ()
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Mustafa Emre Cä°velek: Istanbul Commerce University, Business Administration Faculty, International Logistics Department

Eurasian Eononometrics, Statistics and Emprical Economics Journal, 2018, vol. 10, issue 10, 39-50

Abstract: This study contains a repetition of the data analysis part of a research conducted on building the trust of generation Y customers in B2C websites. In this base study, since the samples size was a limitation of the study, analyses were conducted again by using CB-SEM and PLS-SEM methods separately and the results were compared in small sample size and non-normal distribution. Consistent results were obtained in all of tests of the hypotheses. Finding of this study highlighted the differences between CB-SEM and PLS-SEM and also compared the results obtained different estimation methods of ML, ADF and GLS under non-normal distribution and small sample size limitations.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eas:econst:v:10:y:2018:i:10:p:39-50

DOI: 10.17740/eas.stat.2018�V10�03

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