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

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  • Mustafa Emre CÄ°VELEK

    (Istanbul Commerce University, Business Administration Faculty, International Logistics Department)

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.

Suggested Citation

  • Mustafa Emre CÄ°VELEK, 2018. "Comparison of Covariance-Based and Partial Least Square Structural Equation Modeling Methods under Non-Normal Distribution and Small Sample Size Limitations," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 10(10), pages 39-50, February.
    • Handle: RePEc:eas:econst:v:10:y:2018:i:10:p:39-50
    DOI: 10.17740/eas.stat.2018�V10�03
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