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Kurtosis

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Kurtosis
A statistical measure used to describe the distribution of observed data around the mean.

Notes:
Used generally in the statistical field, it describes trends in charts. A high kurtosis portrays a chart with fat tails and a low even distribution, whereas a low kurtosis portrays a chart with skinny tails and a distribution concentrated towards the mean.

It is sometimes referred to as the "volatility of volatility."

See also: Skewness

Kurtosis
Measures the fatness of the tails of a probability distribution. A fat-tailed distribution has higher-than-normal chances of a big positive or negative realization. Kurtosis should not be confused with skewness, which measures the fatness of one tail. Kurtosis is sometimes referred to as the volatility of volatility.

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Finally, given the known skew and kurtosis of some items, the Satorra-Bentler Scaled Chi-Square Statistic (S-B[chi square]) and its associated fit index, the Robust Comparative Fit Index (RCFI), were used (Satorra & Bentler, 1988).
Means, standard deviations, Cronbach's alphas, skewness, and kurtosis for these scales are also reported in Table 1.
The pretest and posttest measures for critical thinking were examined for normality by using skewness and kurtosis coefficients (z-tests of greater or less than 1.
 
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