4.docx - 4.2.1 Test for Normality Shapiro-Wilks normality...

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4.2.1 Test for Normality Shapiro-Wilks normality test was employed to determine normality in each year level because it provides better power than the Kolmogorov-Smirnov test and it is suitable for non- continuous variables (Oztuna, Elhan, and Tuccar, 2006). P -values greater than .05 indicated a normally distributed population, while at p < .05, the population is concluded to be non- normally distributed. In addition to the Shapiro- Wilk test, skewness and kurtosis were also computed following methods proposed by Hinton (2014). As is depicted in Table 4.2, the Shapiro-Wilk test for normality showed scores for three of the six subtests for Year 4 students failed to demonstrate normal distribution, Maps (
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