0.1010.242. From those data it could be concluded that the data was normally distributed.
b. Post-test Normality Test
Table 4.5
Tests of Normality
Class Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
Df Sig.
Statistic df
Sig. Posttest
Experiment .113
30 .200
.952 30
.194 Control
.143 30
.123 .973
30 .621
. This is a lower bound of the true significance. a. Lilliefors Significance Correction
The normality test in table above was Kolmogorov-Smirnov. Based on critical points table Kolmogrov-Smirnov see appendix
, if N was 30 and α was 0.05, then the t
table
was 0.242. According to the table 4.5, it could be seen that t
value
of experimental class was 0.113, while the controlled class was 0.143. If the t
value
was smaller than t
table
t
value
t
table
, the data were normally distributed. Then if it was not, the data were not normally distributed. It could be seen in the table above that
t
value
in experimental class and controlled class were smaller than t
table
. It was 0.1130.242 in experimental class and 0.1430.242 in controlled class. It can
be concluded that the data was normally distributed.
2. Homogeneity Test
a. Pre-test Homogeneity test
Table 4.6
Test of Homogeneity of Variances
Pretest Levene Statistic
df1 df2
Sig. .633
1 58
.464
The writer used Levene Statistics in order to find the homogeneity of the pre- test with the significance level 0.05. Then from the table above, it could be seen
that the significance was 0.429. The significance 0.429 was higher than 0.05, it meant that the pre-test was homogenous.
b. Post-test Homogeneity Test
Table 4.7
Test of Homogeneity of Variances
Posttest Levene Statistic
df1 df2
Sig. .281
1 58
.598
The writer used Levene Statistics in order to find the homogeneity of the post-test with the significance level 0.05. Then from the table above, it could be
seen that the significance was 0.598. The significance 0.598 on the table above was higher than 0.05, it meant that the pre-test was homogenous.
C. Data Analysis
After doing the preliminary analysis then move to data analysis using t-test. The t-test was done using two types of calculating: using IBM SPSS Statistics 22
and calculating manually. This analysis was done in order to know the effectiveness of blended learning model on students’ reading comprehension of
exposition text at SMAN 4 Tangerang Selatan. The results are as follows:
1. Pre-test
Tabel 4.8
Group Statistics
Class N
Mean Std. Deviation
Std. Error Mean Pretest
Eksperiment 30
59.93 13.841
2.527 Control
30 54.93
13.201 2.410
Tabel 4.9
Independent Samples Test
Levenes Test for Equality of
Variances t-test for Equality of Means
F Sig.
t Df
Sig. 2-
taile d
Mean Differe
nce Std.
Error Differe
nce 95
Confidence Interval of the
Difference
Kategori