Table 4.6 Homogeneity of the Pre-test
Test of Homogeneity of Variance
Levene Statistic df1
df2 Sig.
PreScore Based on Mean
.090 1
76 .764
Based on Median .133
1 76
.716 Based on Median and with
adjusted df .133
1 75.971
.716 Based on trimmed mean
.155 1
76 .695
Table 4.6 shows that the degree of significance based on the mean in the pre-test was 0.764, which is bigger than 0.05. There
f
ore, it can be concluded that both groups in the pre-test are homogenous.
d. Homogeneity of the Post-test
The analysis of the homogeneity variances of both groups in the post-test was done by employing Levene’s statistic test in IBM SPSS Statistics 20. Here are
the results of the calculation:
Table 4.7 Homogeneity of the Post-test
Test of Homogeneity of Variance
Levene Statistic df1
df2 Sig.
PostScore Based on Mean
2.384 1
76 .127
Based on Median 2.324
1 76
.132 Based on Median and with
adjusted df 2.324
1 74.317
.132 Based on trimmed mean
2.393 1
76 .126
From the result of homogeneity test in the Table 4.7, it can be seen that the degree of significance based on mean was 0.127 which is bigger than 0.05.
Therefore, it can be concluded that both groups in the pre-test are homogenous.
5. Analysis of the Data
The t
test
formula was employed to find the empirical evidence statistically and to test the hypothesis of this research. In performing the t
test
, manual calculation and SPSS calculation was used by the writer. SPSS calculation was
used to verify the result of manual calculation and to provide better evidence of the calculation. The t
test
was used to measure the effectiveness of Jigsaw technique on students’ ability in reading exposition text
In this calculation, to make the calculation easier, the symbol ‘X’ was used to represent the gain of experimental class student, meanwhile ‘Y’ is the symbol
used to represent the gain of control class student. The manual calculation of the t
test
formula is as follows: Table 4.8
Comparison of the Students’ Gain Score between Student in Experimental Class and Student in Control Class
No Score
x = X - �
x² y= Y-
� y²
X Y
1 -5
-9.744 94.938
-4.231 17.899
2 5
5 0.256
0.066 0.769
0.592 3
10 5.256
27.630 -4.231
17.899 4
30 10
25.256 637.886
5.769 33.284
5 -4.744
22.502 -4.231
17.899 6
-35 -4.744
22.502 -39.231
1539.053 7
5 -4.744
22.502 0.769
0.592 8
10 5.256
27.630 -4.231
17.899 9
5 -5
0.256 0.066
-9.231 85.207
10 -5
15 -9.744
94.938 10.769
115.976 11
-10 -4.744
22.502 -14.231
202.515 12
10 5
5.256 27.630
0.769 0.592
13 10
20 5.256
27.630 15.769
248.669 14
-5 15
-9.744 94.938
10.769 115.976
15 20
10 15.256
232.758 5.769
33.284 16
10 -4.744
22.502 5.769
33.284 17
-5 10
-9.744 94.938
5.769 33.284
18 5
-4.744 22.502
0.769 0.592
19 -20
15 -24.744
612.245 10.769
115.976 20
20 -5
15.256 232.758
-9.231 85.207
