2010
DOI: 10.1007/978-3-7908-2372-1_6
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Structural Equation Modeling: Results and Analysis

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Cited by 4 publications
(4 citation statements)
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“…The importance of path coefficients is generally evaluated based on the p-value. This study applies a significance level of 1%, which the previous author mentioned to analyze the significance of the results (Raoprasert & Islam, 2010) (Masood & Sonntag, 2020). The test result indicated that Both H1 and H2 are acceptable as valid hypotheses.…”
Section: Resultsmentioning
confidence: 96%
“…The importance of path coefficients is generally evaluated based on the p-value. This study applies a significance level of 1%, which the previous author mentioned to analyze the significance of the results (Raoprasert & Islam, 2010) (Masood & Sonntag, 2020). The test result indicated that Both H1 and H2 are acceptable as valid hypotheses.…”
Section: Resultsmentioning
confidence: 96%
“…In the stage of testing the multivariate distributions, the Mardia's coefficient of multivariate kurtosis of more than 0.8 was used to check the normality of the data distribution. 40 For outliers, items with a Mahalanobis distance of p < 0.001can be identified as multivariate outliers. 32…”
Section: Methodsmentioning
confidence: 99%
“…The creation of composite variables involves combining the scores of two or more items on a dimensional scale. Here, the approaches for computing composite variables from Raoprasert and Islam (2010) were applied, with the generic formula:where x i is the item score and f i is the factor loading.…”
Section: Methodsmentioning
confidence: 99%