Selection of Questions
To explore the leadership styles for innovation in the public sector, we have selected the following relevant 32 questions from both years to perform EFA:
Quantitative Analysis
For quantitative analysis; skewness, kurtosis, mean, and standard deviation of the above selected 32 questions from both datasets were checked as:
The following conclusion can be made from the above observations for both years:
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Skewness measures the asymmetry of distribution in the data. For most of the questions the skewness lies between 0.5 to 1, indicating that the data is slightly positively skewed.
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Kurtosis measure if a distribution is heavy-tailed or light-tailed relative to normal distribution.
As most of the variables have kurtosis > 3, indicating the data for these questions is Leptokurtic i.e., heavy-tailed.
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Standard deviation measures the spread of data from its mean value. As for most of the variables, the standard deviation is approximately 1, indicating that data lies within 1 standard deviation