Based on the table above, it can be seen that the significant from normality test Shapiro-Wilk shows 0.560. Therefore, the significant score
is higher than 0.05 0.560 0.05. it means that H is accepted so the data
is normally dustributed. d. Post-test of Controlled Class
Table 4.8 Normality of Post-test Controlled Class
Tests of Normality
Kelas Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
Df Sig.
Statistic Df
Sig. Posttest
control ,124
32 ,200
,964 32
,356 . This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Based on the table above, it can be seen that the significant from normality test ShapiroWilk shows 0.356. Therefore, the significant score is
higher than 0.05 0.356 0.05. it means that H is accepted so the data is
normally distributed.
6. Homogeneity Test
Based on the calculation of normality, the writer got the result that all data in pre-test and post-test of both experiment class and controlled class
have been normality distributed. The next step of the claculation was finding the homogeneity of tha data. The purpose of this claculation was
to see whether the data sample in both classes homogenous or heterogeneous.
Hypotheses:
H : The condition of experiment class is not different from controlled
class H
1
: The sample of experiment class is differentfrom controlled class. Based on the criteria, it can be concluded that H
is accepted. It means that the sample in experiment class and controlled clss were homogenous.
Moreover, the writer also used SPSS to calculated the homogeneity of the data. The result that the writer got can be seen on the table below:
Table 4.9 Test of Homogeneity of Variance
Test of Homogeneity of Variances
pretest Levene Statistic
df1 df2
Sig. ,130
1 62
,720
Based on the table above, it can be seen that the result of homogeneity test Lavene Statistic score shows 0.130 with the significant 0.720.
Therefore, the significant score is higher than 0.05 0.720 0.05. it means that the sample in experiment class and controlled class were homogenous.
Table 4.10 ANOVA Test
ANOVA
pretest Sum of Squares
df Mean Square
F Sig.
Between Groups 58,141
1 58,141 ,973
,328 Within Groups
3704,594 62
59,752 Total
3762,734 63
Based on the table above, F score from the result of calculation is 0.973 with the significant score 0.328. the writer found H
is accepted from
