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Avrasya Ekonometri �statistik ve Ampirik Ekonomi DergisiYl:2018 Say: 10 Alan: Ampirik ktisat

Mustafa Emre Civelek
Normal Olmayan Dalm ve Kk rneklem Bykl Kstlar Altnda Kovaryans Tabanl ve Ksmi En Kk Kareler Yapsal Eitlik Modellemesi Yntemlerinin Karlatrlmas
 
Bu alma, B2C web sitelerinde Y nesline mensup mterilerin gvenini oluturmaya ynelik bir aratrmann veri analizi blmnn tekrarn iermektedir. Bu temel almada, rneklem bykl almann bir kst olduundan, CB-SEM ve PLS-SEM yntemleri kullanlarak ayr ayr analizler yaplm ve sonular kk rneklem byklnde ve normal olmayan dalm altnda karlatrlmtr. Tm hipotez testlerinde uyumlu sonular elde edilmitir. Bu alma bulgularnda CB-SEM ve PLS-SEM arasndaki farklara deinilmi ve ML, ADF ve GLS gibi farkl tahmin yntemleri ile elde edilen sonular karlatrlmtr.

Anahtar Kelimeler: CB-SEM, PLS-SEM, Gven, Kk rneklem Hacmi, Normal Olmayan Dalm


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

Keywords: CB-SEM, PLS-SEM, Trust, Small Sample Size, Non-Normal Distribution


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