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The value of k can be obtained using the skewness coefficient (C s) and coefficient of variation (C v).
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The skewness of the explanatory variable was estimated using the skewness function in the e1071 package.
Normality of data was checked using the skewness and kurtosis test.
The distribution of data was examined using the skewness-kurtosis test of normality.
The normality of score distribution was examined using the skewness-kurtosis Test.
The skewness coefficient for the log10 distribution was equal to −0.24.
For these four tested parameters, the skewness coefficient (A) was tested and the result of the Shapiro-Wilk normality test (ps-W) determined.
The skewness coefficient and its 95% CI yielded by Bootstrap [ 27] for all types of occupational group on items are estimated by author programmed Excel-VBA module.
We used the skewness and kurtosis test to check each variable for departure from normality [ 20].
The respective item responding to specific groups' occupational hazards causing job stress was investigated by using skewness coefficient with its 95% CI through item-by-item analyses.
The growth charts were constructed using the LMS (L = skewness; M = median; S = coefficient of variation) method (28).
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