G. Statistical Hypothesis
The statistical hypothesis of the research can be seen as: 1.
There is no effectiveness of using story mapping on students’ reading
achievement of narrative text H
o
. H
o
= µ
1
= µ
2
2. There is effectiveness of using story mapping on students’ reading
achievement of narrative text H
a
. H
a
= µ
1
≠ µ
2
Where: H
o
= Null hypothesis
H
a
= Alternative hypothesis
µ
1
=
Students’ pre-test achievement
µ
2
=
Students’ post-test achievement And then, the criteria used are as follows:
a. If t-test t
o
t-table t
t
in significant degree of 0.05, H
o
null hypothesis is rejected. It means that the average score rates of the experimental group
are higher than the controlled group. In other words, using story mapping on students’ achievement of narrative text is effective.
b. If t-test t
o
t-table t
t
in significant degree of 0.05, H
o
null hypothesis is accepted. It means that the average score rates of the experimental group
are same as or lower than the controlled group. In other words, using story mapping on students’ achievement of narrative text is not effective.
31
CHAPTER IV RESEARCH FINDINGS
A. Data Description
The data shown in this part were collected from students’ score in pre-test
and post-test of both classes which are the experiment class and controlled class. The data of each class were depicted into tables and figures below. The first part
shows the data of experiment class and the second part shows the data of controlled class.
1. The Data of Experiment Class
Table 4.1 The Score of Experiment Class
Students Pre-test
Post-test Gain Score
1 60
80 20
2 56
76 20
3 60
68 8
4 64
84 20
5 56
76 20
6 72
80 8
7 48
68 20
8 72
80 8
9 56
72 16
10 44
84 40
11 44
76 32
12 72
92 20
13 56
80 24
14 68
84 16
15 60
88 28
16 48
72 24
17 60
92 32
18 56
68 12
19 68
76 8
20 60
68 8
21 48
80 32
22 64
72 8
23 56
88 32
24 52
72 20
25 60
92 32
26 64
80 16
27 56
80 24
28 52
84 32
29 60
76 16
30 56
84 28
31 60
76 16
32 52
80 28
33 56
80 24
34 64
88 24
35 52
76 24
Σ
2032 2772
740
Mean
58.06 79.2
21.142
From the description of the score of experiment class above, it could be seen that from 35 students in the class, the mean of pre-test is 58.06 and the mean of post-
test is 79.2. So, the mean of the gain score of experiment class is 21.142. The smallest score from the pre-test is 44 and the highest score is 72. After giving the
treatment by using story mapping, the post-test was conducted to students. The data showed the smallest score in post-test is 68 and the highest score is 92. The mean
of post-test after giving treatments using story mapping technique is higher than the mean of pre-test before giving treatments. It means that there is a significant
difference between the students’ comprehension of pre-test and post-test. The writer used SPSS v. 22 to see the detail information of the score. The further information
about pre-test in experiment class can be seen through Table 4.2 and 4.3 below:
Table 4.2 Data Description of Pre-test Result of Experiment Class
Descriptive Statistics
N Minimum
Maximum Sum
Mean pretest
35 44
72 2032
58.06 Valid N listwise
35
The table 4.2 shows that the total number of data in experimental class is 35. The minimum score of pre-test in experiment class is 44 and the maximum score is 72.
The total score is 2032 while the mean score of pre-test in experiment class is 58.06. Mean is the average score of the class.
According to the table above, it can be formed a table of frequency distribution as follows:
Table 4.3 Frequency Distribution of Pre-test Result of Experiment Class
pretest
Frequency Valid
44 2
48 3
52 4
56 9
60 8
64 4
68 2
72 3
Total 35
From the table above, it can be seen the most frequent score is 56 which was had from 9 students. The second is 60 which was had from 8 students. The third is 52
and 64 which was got by 4 students, the forth is 48 and 72 which was got by 3 students. The less frequent score is 44 and 68 which was had from 2 students.
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