reliability coefficient range of 0.50 to 0.60 may be acceptable Ary, D;2002. The following table shows the test reliability of the tests which were used in this
research. Test Reliability
Group Pre Test
Post Test Experimental Group
0.88 0.84
Control group 0.87
0.827
Table 4.4. Test Reliability
The table above shows that the reliability of pre test of the experimental group was 0.88 and of the control group was 0.87. Both were more than the
modest reliability 0.60. The test reliability of the post test of the experimental group was 0.84 and of the control group was 0.827. Both post tests were
approaching 1. As a conclusion, the tests can be said to be reliable.
3. Data Analysis
This subchapter presents the analysis of the test results. In order to see the significance of the difference of the test results, Independent Sample t-test and
Non Independent sample t-test were used. The following is the presentation of the analysis.
3.1. Data Analysis Using Independent Sample t-test 3.1.1 Analysis of the Pre test
The pre test results were analyzed in order to know the input competence of both groups before the treatment. As seen in the table 4.1, the mean scores of
the experimental group and control group were 3.92 and 3.96 respectively. The mean score of the control group was 0.04 higher than that of the experimental
group. In order to know the significance different of the two mean scores, the Independent sample t-test was used.
The t-observed as computed using Independent sample t-test was 0.032 see appendix with the degree of freedom 46. In order to see the significance, the
t-observed was consulted to the t-table. It was found that for 46 degree of freedom at the level of significance 0.05, the t-value of the t-table is 1.684 see appendix.
The mean scores difference is said to be significant if the t-observed is the same or larger than the t-value in the t-table. Since the t-observed was lower than the t-
table, it means that the competence of the students of the two groups before the treatment were the same.
3.1.2. Analysis of the Post Test
The post test results were analyzed using Independent sample t-test in order to find out whether or not the improvement of the competence between the
two groups was different significantly. The mean scores of the post tests of both groups were higher than the mean scores of the pre tests. It means that there was
an improvement of competence for both groups. The Independent Sample t-test calculated the mean score difference between the two groups. The following table
shows the mean scores differences between the two groups. Experimental Group
Control Group X
1
X
1
-
1 X
X
1
-
1 X
2
X
2
X
2
-
2 X
X
2
-
2 X
2
8 -2.83
8.0089 4
-4.5
20,25
8 -2.83
8.0089 6
-2.5
6,25
8 -2.83
8.0089 7
-1.5 2.25
8 -2.83
8.0089 7
-1.5 2.25
9 -1.83
3.3489 7
-1.5 2.25
9 -1.83
3.3489 7
-1.5 2.25
9 -1.83
3.3489 7
-1.5 2.25
9 -1.83
3.3489 7
-1.5 2.25
9 -1.83
3.3489 8
-0.5 0.25
10 -0.83
0.6889 8
-0.5 0.25
11 0.17
0.0289 8
-0.5 0.25
11 0.17
0.0289 9
0.5 0.25
11 0.17
0.0289 9
0.5 0.25
11 0.17
0.0289 9
0.5 0.25
11 0.17
0.0289 9
0.5 0.25
12 1.17
1.3689 9
0.5 0.25
12 1.17
1.3689 9
0.5 0.25
13 2.17
4.7089 9
0.5 0.25
13 2.17
4.7089 9
0.5 0.25
13 2.17
4.7089 9
0.5 0.25
13 2.17
4.7089 10
1.5 2.25
14 3.17
10.0489 11
2.5 6.25
14 3.17
10.0489 12
3.5 12.25
14 3.17
10.0489 14
5.5 30.25
∑=260 ∑=101.3336
∑=94
1 X
=26024 = 10.83
2 X
=20424 = 8.5
Table 4.5 The Mean Scores of the Experimental Group and the Control Group
By using the Independent Sample t-test, it was found that the t-observed was 3.95. In order to see the significance, the t-observed was compared to the t-
value in the t-table. The t-value for 46 degree of freedom at the level 0.05 significance was 1.684 see the appendix. It can be seen clearly that the t-
observed was higher than the t-value. It means that mean score of the experimental group was significantly higher than that of the control group. In
other words, the Natural Method can improve the competence of the students higher than the traditional method.
