Question: There are different methods of checking data normality like PP-plot, histogram, normality tests and skewness and kurtosis. Following is the SPSS result of checking data
There are different methods of checking data normality like PP-plot, histogram, normality tests and skewness and kurtosis. Following is the SPSS result of checking data normality through skewness and kurtosis.
Requirement: You are supposed to interpret each variables values of skewness and kurtosis to conclude whether each variable is normally distributed or non-normally distributed. After conclusion of data normality, you are supposed to mention whether you will apply parametric test or non-parametric test. Variables are given in the table below with their values.
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| N | Skew ness | Kurtosis | ||
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| Statistic | Statistic | Std. Error | Statistic | Std. Error |
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| Islamic w ork ethics | 150 | 1.729 | .198 | 2.597 | .394 | |
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| Distributive | justice | 150 | .469 | .198 | -.542 | .394 |
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| Procedural | justice | 150 | .520 | .198 | -.320 | .394 |
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| Interactional justice | 150 | .391 | .198 | -.477 | .394 | |
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| Organizational Commitment Scale | 150 | .755 | .198 | .142 | .394 | |
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| Valid N (listw ise) | 150 |
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