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2 Normality of Post-test Table 4.4
Normality of Post-test
Tests of Normality
kelas Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
Df Sig.
Statistic df
Sig. Post_test
Experimental .159
20 .200
.958 20
.502 Controlled
.145 40
.034 .964
40 .228
. This is a lower bound of the true significance. a. Lilliefors Significance Correction
The table above shows that the significant value of normality test in Post Test on Experimental class was 0.502 while in the Controlled Class was 0.228. From
these scores, it can be concluded that the significance in Experimental Class is higher than α 0.05 0.502 0.05 and the significance in Controlled Class also
higher than α 0.05 0.228 0.05. Thus, the H
is accepted and it means the data are normally distributed.
b. Homogeneity Test
After calculating data normality, the researcher needs to calculate the homogeneity of data. Whether it is homogeny or heterogenic, it will be calculated
using Descriptive Statistic formula in SPSS 23 program for Windows as already been described in Chapter 3. Below are the hypotheses and results.
Hypothesis: H
: The sample of experimental class is not different from controlled class or the sample is homogeneous.
H
1
: The sample of experimental class is different from controlled class or the sample is heterogeneous.
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1 Homogeneity Test of Pre Test Table 4.5
Homogeneity Test of Pre-test
Test of Homogeneity of Variances
Pre_test Levene Statistic
df1 df2
Sig. .014
1 58
.907
From Table 4.5 it can be seen that the significance of Pre-test between Experimental Class and Controlled Class was higher than significance value
0.907 0.05. This means the H hypotheses was accepted, the sample of
Experimental Class and Controlled Class were homogenous. 2 Homogeneity Test of Post Test
Table 4.6 Homogeneity Test of Post-test
Test of Homogeneity of Variances
Post_test Levene Statistic
df1 df2
Sig. .947
1 58
.334
From Table 4.6 it can be seen that the significance of Post-test between Experimental Class and Controlled Class was higher than significance value
0.334 0.05. This means the H hypotheses was accepted, the sample of
Experimental Class and Controlled Class were homogenous.
B. Test of Hypotheses
This section is the most important calculation for the research. It is to determine whether there is a positive effect of video game towards students’
reading comprehension of narrative text or not. The researcher using t-test Formula to compare score between Experimental Class X and Controlled Class
Y. Table 4.7 is presented below, consist the calculation of gained score on both classes.
