The table above shows that the data of the control class is 35 with sum 2260. Mean score from the control class is 64.57, the variance score is 68.19, and deviation
standard is 8.257. The highest score of the control class is 80.00 and the lowest score is 45.00. The median score is 65.00 and the mode score is 65.00
According to the table above, it can be made table of frequency distribution which is presented as follows:
Table 4.10 Table of Frequency Distribution of Post-test Result of Control Class
Score
Frequency Percent
Valid 45
2 5.7
55 4
11.4 60
7 20.0
65 9
25.7 70
8 22.9
75 3
8.6 80
2 5.7
Total 35
100.0
Beside the table of frequency distribution, it also can be describe by a diagram which is presented as follows:
Picture 4.4 Diagram of Post-test Result of Control Class
c. Normality Test
1 Pre-test Normality Test
The normality test in this research use Kolmogorov-Smirnov methods in SPSS v.16 for Windows with criteria
ρ 0.05. The results of normality test of the data are
presented as follows: Table 4.11
Normality Pre-test Results between Experimental Class and Control Class
CLASS Kolmogorov-Smirnov
a
Statistic df
Sig. PRETEST
1 EXPERIMENT .119
35 .200
2 CONTROL .138
35 .091
From the table 4.11, it can be seen that the significance of pre-test score in experimental class is 0.200. It can be concluded that the data are normally distributed
because 0.200 0.05. Meanwhile, the significance of pre-test score in control class is
1 2
3 4
5 6
7 8
9
45 50
55 60
65 70
75 80
0.091. According to the requirement that had mentioned in chapter III, if the significance score of Asyim Sig 2 tailed 0.05, so the data is come from the normal
population, but if Asyim Sig 2 tailed 0.05, so the data is not come from normal population.Therefore, the data are normally distributed because 0.091 0.05. In other
words, the pretest result in both experimental class and control class are normally distributed.
2 Post-test Normality Test
The normality test in this research use Kolmogorov-Smirnov methods in SPSS v.16 for Windows with criteria
ρ 0.05. The results of normality test of the data are presented as follows:
Table 4.12 NormalityPost-test Results between Experimental Class and Control Class
CONTROL Kolmogorov-Smirnov
a
Statistic df
Sig. POSTTEST
1 .138
35 .090
2 .149
35 .108
From the table 4.12, it can be seen that the significance of post-test score in experimental class is 0.090. It can be concluded that the data are normally distributed
because 0.090 0.05. Meanwhile, the significance of post-test score in control class is 0.108. Therefore, the data are also normally distributed because 0.108 0.05. In
other words, the post-test result in both experimental class and control class are normally distributed.
d. Homogeneity Test
1 Pre-test Homogeneity Test
Based on the calculation of normality, the researcher got the result that all data in pre-test and post-test of both experiment class and control class have been
distributed normally. The next step of the calculation was finding the pre-test and post-test homogeneity of the data by usingSPSS v.16 for Windows¸ specificallyby
using Kolmogorov-Smirnov method. The results of pre-test homogeneity test of the data are presented as follows:
Table 4.13 HomogeneityPre-test Results between Experimental Class and Control Class
Levene Statistic df1
df2 Sig.
1.133 1
68 .291
The table 4.13 shows that the significance of pre-test result between experimental class and control class is 0.291. Therefore, it can be concluded that
there is no a significant difference between experimental class and control class because 0.291 0.05.
2 Post-test Homogeneity Test
The post-test homogeneity of the data is also done by using SPSS v.16 for Windows¸ specificallyby using Kolmogorov-Smirnov method. The results of post-test
homogeneity test of the data are presented as follows:
Table 4.14 HomogeneityPost-test Results between Experimental Class and Control Class
Levene Statistic df1
df2 Sig.
.048 1
68 .827
The table 4.13 shows that the significance of post-test result between experimental class and control class is 0.827. Therefore, it can be concluded that
there is no a significant difference between experimental class and control class because 0.827 0.05.
e. Hypothesis Test
The last calculation was testing the hypothesis. This was the crucial calculation to answer the problem formulation of this research that whether there is
significant different between students’ reading achievement in experiment classwhich were given Collaborative Strategic Reading CSR
technique and students’ reading achievement in control class which were not. The writer used SPSS v.16 for
Windowsprogram which is Paired Sample Test. The criteria for hypothesis test are as follow:
If the significance of T-test 0.05 the H
o
is accepted If the significance of T-test 0.05 the H
o
is rejected or H
1
is accepted The table below shows the result between the experiment class which were
given Collaborative Strategic Reading CSR technique in reading class, and the control class which were not.
Table 4.15 T-test Result
Paired Differences
t df
Sig. 2-
tailed Mean
Std. Deviation
Std. Error
Mean 95 Confidence Interval
of the Difference Lower
Upper Postest Experim
ent - Control
1.78571E1 11.89944 2.01137 13.76954 21.94474 8.878
34 .000
