Using Kolmogorov-Smirnov Test To Examine The Normality Of

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Data analysis method First, using Kolmogorov-Smirnov Test to examine the normality of the variables in each of the hypotheses and assumptions of one to five using regression analysis and using software Spss18 and then fourth hypothesis using structural equation modeling (Path Analysis) using software Amos22 to confirm or refute the hypothesis of the research study. Hypotheses:
1. Empowerment dimension effect on turnover intention.
2. Interoperability dimensions have an effect on turnover intention.
3. Empowering (General) effect on turnover intention.
4. Interoperability (total) effect on turnover intention.
5. Empowering effect on interoperability.
6.Empowering through interoperability has an effect on turnover intention.

Results
Since the normal distribution of variables in the regression, is the most important default, before examining hypotheses, using non-parametric test Kolmogorov - Smirnov, was investigated assuming normal distribution of data related to each of the variables. In all tests performed in this study,
…show more content…
Standardized coefficients related to structural equation modeling (Path Analysis)
The standardized coefficients are used to compare the effects of each component of the model. The absolute value of the coefficient is larger, which means that the impact of the independent variable is greater on the dependent variable. The direct effects of Amos path analysis of statistic t, used to assess the significance of the coefficients in the model. Since the default of significance level, is 0.05, so obtained coefficients will be significantly that the corresponding statistic is larger than 1.96- or smaller than 1.96. As the absolute value is greater than 1.96, the impact of the independent variable on the dependent variable will be more and more powerful. As you can see, there are two variables, organizational commitment, and job satisfaction. Also, the direct and indirect effects and significance level are shown in Table

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