2. Treatment
Treatment was given to experimental group by teaching reading descriptive text using TGT technique. In contrary, researcher thought reading
descriptive text in controlled class without TGT technique.
3. Post-test
Post-test was given both to experimental and controlled class in the last meeting. The purpose of posttest was to know the students
‟ reading after being taught and comprehension given treatment.
F. Technique of Data Analysis
After getting score from pre-test and post-test, the writer analysed the data by using requirement test before. It consisted of normality test and homogeny test.
1. Test Normality and Homogeneity.
Test of normality in this research were conducted through SPSS 20 version. Normality test was used in order to know whether the distributions from
the two classes were normal or not. The test of normality was using Komogorov- Smirnov and Shapiro-Wilk. Significant score in Komogorov-Smirnov and
Shapiro-Wilk table should be above 0.05 in order to have normal distributed data. In addition, the homogeneity in this research were conducted through
SPSS 20 version Homogeneity test was used in order to know whether the distributions from the two classes were have the same or different variant. The test
of homogeneity was using Levine Table. Significant score in Levene table should be above 0.05 in order to have homogeny distributed data. Both of the Normality
and Homogeneity test were conducted in pre-test score and post-test Score.
2. Test of Hypothesis
In order to find out the different score of the students‟ reading
comprehension, the researcher used pre-test and post-test. After getting result of Normality and Homogeneity test, t-test conducted. The researcher uses SPSS 20
to conduct t-test. t-test was conducted to test whether the means of two samples differ or not.
T-test was conducted through Independence-sample t-test in SPSS 20. It was used because it compares different means of tests both from experimental and
controlled class was meant between two ratio-scale classes. If Sig. 2 tailed p value α alpha, Ho was accepted and Ha was rejected. Contrary, if Sig. 2 tailed
p value α alpha, Ha was accepted and Ho was rejected. In other words the
two classes had significant different mean score if sig. 2 tailed below than α
alpha, 0.05.
G. Statistical Hypothesis
Statistical hypothesis used as follow: Ho : μ1 = μ2
Ha : μ1 ≠ μ2
Ho = Null hypothesis Ha = Alternative hypothesis
μ1 = Students‟ reading comprehension on descriptive text who are taught by using TGT technique.
μ2 = Students‟ reading comprehension on descriptive text who are taught without using TGT technique.
The assumption of this hypothesis as follow: If p value α alpha, Null Hypothesis Ho are rejected and Alternative
Hypothesis Ha are accepted. It means that there is significant difference of students‟ reading comprehension on descriptive text between students taught by
using TGT and students taught without using TGT technique. If p value α alpha, Null Hypothesis Ho are accepted and Alternative
Hypothesis Ha are rejected. It means that there is no significant difference of students‟ reading comprehension on descriptive text between students taught by
using TGT and students taught without using TGT technique.
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