4.2.3.1 Pre-Test Normality of the Experimental Group
Table 4.6 Pre-Test Normality of Experimental Group Tests of Normality
Kolmogorov- Smirnov
a
Shapiro-Wilk Statist
ic df
Sig. Statisti
c df
Sig. Pretest_e
xper .154
32 .051
.947 32
.121
a. Lilliefors Significance Correction
According to the table, the Sig value in Shapiro-Wilk is 0.121. It means that the p-value is higher than the level of significance 0.05. By this calculation,
it can be concluded that pre-test score for experimental group is said to be normally distributed.
4.2.3.2 Pre-Test Normality of the Control Group
Table 4.7 Pre-Test Normality of Control Group
According to the table, the Sig value in Shapiro-Wilk is 0.416. It means that the p-value is higher than the level of significance 0.05. By this calculation,
it can be concluded that pre-test score for control group is said to be normally distributed.
Tests of Normality Kolmogorov-
Smirnov
a
Shapiro-Wilk Statist
ic df
Sig. Statisti
c Df
Sig. Pretest_
ctrl .156
32 .046
.967 32
.416
a. Lilliefors Significance Correction
4.2.3.3 Post-Test Normality of the Experimental Group
Table 4.8 Post-Test Normality of Experimental Group Tests of Normality
Kolmogorov-Smirnov
a
Shapiro-Wilk Statisti
c df
Sig. Statisti
c Df
Sig. Posttest_e
xper .195
32 .003
.954 32
.183
a. Lilliefors Significance Correction
According to the table, the Sig value in Shapiro-Wilk is 0.183. It means that the p-value is higher than the level of significance 0.05. By this calculation,
it can be concluded that pre-test score for control group is said to be normally distributed.
4.2.3.4 Post-Test Normality of Control Group
Table 4.9 Post-Test Normality of Control Group Tests of Normality
Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic df
Sig. Statistic Df
Sig. Posttest_ct
rl .182
32 .009
.937 32
.062
a. Lilliefors Significance Correction
According to the table, the Sig value in Shapiro-Wilk is 0.062. It means that the p-value is higher than the level of significance 0.05. By this calculation,
it can be concluded that pre-test score for control group is said to be normally distributed.
4.2.4 Homogeneity Test
To ensure that the data of each group are homogeneous, it is important to perform a homogeneity test. The purpose of this test is to know whether the data were
homogeneous or not. In this case, the writer used SPSS to calculate the data. The table below is the result of homogeneity test for both experimental and control
group:
Table 4.10 Homogeneity Test for Pre-Test Test of Homogeneity of Variances
Pretest
Levene Statistic df1
df2 Sig.
.318 5
25 .897
Table 4.11 Homogeneity Test for Post-Test Test of Homogeneity of Variances
Posttest
Levene Statistic df1
df2 Sig.
1.202 6
24 .339
According to the table above, it can be seen that the sig value for pre-test is 0.897 and for post-test is 0.339, while the level of significance is 0.05. Because
of sig value is higher than the level of significance; it means that the data of both pre-test and post-test are homogenous.
4.2.5 Level of Students’ Achievement
The data were obtained from the result of students‟ writing spoof text on pre-test and post-test in both groups. The following table is the average scores and
differences between pre-test and post-test in both groups based on five components.
Table 4.12 Result of Pre-Test and Post-Test Average Scores of the Experimental Group and Control Group
Group Average
Score of Average
Score of Difference between Pre
Test and Post Test Experimental Group
52.5 69.84375
17.34375 Control Group
50.78125 60.9375
10.15625 The difference between
experimental group and control group
1.71875 8.90625
Based on the table, the average difference between the pre test of the experimental group and the control group was 1.71875. The average
difference between the post test of the experimental group and the control group was 8.90625. The difference between pre test and post test of the experimental
group was 17.34375. Meanwhile, the difference between pre-test and post-test of the control group was 10.15625. From the data above, we can conclude that the
difference between pre-test and post-test of the students who are treated by using
Meme Comic is better than the students who are treated by using picture.
4.2.6 T-Test Result
The purpose of this study is to investigate whether there is a significant difference of students‟ achievements in writing spoof text that are taught by using
Meme Comic and who are taught by using picture. In order to measure the significance of pre-test and post-test, t-test was used. In this case, the writer used
SPSS 19 to measure t-test. Below is the table of calculating post- test‟s t-test by
using SPSS:
Table 4.13 T-Test Paired Samples Test
Paired Differences
t df
Sig. 2-
tailed
Mean Std.
Devia tion
Std. Error
Mean
95 Confidence
Interval of the
Difference
Lower Upper Pai
r 1 Posttest_ctr
l - Posttest_ex
per -
8.906 4.707 .832
10.603 7.209 10.70 4
31 .001
Based on the calculation using SPSS 19, t-value should be interpreted. In order to interpret t-value, it should be consulted with t-table whether the
difference was significant or not. If the t-value is higher than t- table and the sig 2-tailed is lower than 0.05, it means that there is significant difference between
experimental group and control group.
Based on the table above, it can be seen that the t-value was 10.704. Meanwhile t-table based on the degree of freedom df was 1.696. Moreover, sig
2-tailed obtained was 0.001. It means that t-value was higher than t-table and sig2-tailed was lower than 0.05, so it could be concluded that there was
significant difference between experimental group and the control group on post- test.
Based on that result, the hypothesis that there is significant difference between students‟ achievement in writing spoof text that are taught by using
Meme Comic and who are taught by using picture. Thereby, the hypothesis that there is no difference betwe
en students‟ achievement in writing spoof text that are taught by using Meme Comic and those who are taught by using picture was
refused.
4.3 Discussion
