while the sig. score of controlled class was 0.200. Meanwhile the sig. score of experimental class for accuracy was 0.200, while the sig. score of controlled class
was 0.101. In Shapiro-Wilk column, it showed that both experimental class and
controlled class also had normal distribution data. The sig. score of complexity of experimental class was 0.527, while the sig. score of controlled class was 0.707.
Meanwhile the sig. score of experimental class for accuracy was 0.742, while the sig. score of controlled class was 0.101. Thus, it could be concluded that post test
score in both experimental class and controlled class had normal distribution data calculated by Kolmogorov-Smirnov and Shapiro-Wilk.
2. Test of homogeneity
Test of homogeneity of complexity and accuracy was calculated in both of pre-test and post-test. These tests were conducted through SPSS
20. Test of homogeneity was calculated using Levine. The following tables contained the result of test of homogeneity of experimental class.
Table 4.13 The Result of Homogeneity Test of Pre-Test of Complexity
Test of Homogeneity of Variance
Levene Statistic df1
df2 Sig.
Score Based on Mean
3.566 1
38 .067
Based on Median 2.135
1 38
.152 Based on Median and with
adjusted df 2.135
1 35.879
.153 Based on trimmed mean
3.531 1
38 .068
Table 4.14 The Result of Homogeneity Test of Pre-Test of Accuracy
Levene Statistic df1
df2 Sig.
Score Based on Mean
.539 1
38 .467
Based on Median .398
1 38
.532 Based on Median and with
adjusted df .398
1 37.901
.532 Based on trimmed mean
.513 1
38 .478
In test of homogeneity, data are stated as homogeny distribution when sig. score is above 0.05. Although there were many score in each
row and column, based on mean column was needed to pay attention to. Sig. score in these columns are 0.065. and 0.467 these are bigger than 0.05
which meant that these data had homogeny distribution data. Thus, it could be concluded that pre-test score in both experimental class and controlled
class for complexity and accuracy had homogeny distribution data calculated by Levene.
Table 4.15 The Result of Homogeneity Test of Post-Test for Complexity
Test of Homogeneity of Variance
Levene Statistic df1
df2 Sig.
Score Based on Mean
2.948 1
38 .094
Based on Median 2.672
1 38
.110 Based on Median and with
adjusted df 2.672
1 36.091
.111 Based on trimmed mean
2.796 1
38 .103
Table 4.16 The Result of Homogeneity Test of Post-Test for Accuracy
Test of Homogeneity of Variance
Levene Statistic df1
df2 Sig.
Score Based on Mean
.804 1
38 .375
Based on Median .773
1 38
.385 Based on Median and with
adjusted df .773
1 35.375
.385 Based on trimmed mean
.806 1
38 .375
In test of homogeneity, data are stated as homogeny distribution when sig. score is above 0.05. Sig. score in based on mean column are 0.094.
and 0.375. those are bigger than 0.05 which meant those data had homogeny distribution data. Thus, it could be concluded that post test
score in both experimental class and controlled class had homogeny distribution data calculated by Levene.
3. Test of Hypothesis
Test of hypothesis in this research conducted by using SPSS 20. The following tables contained the result of t-test calculation.
Table 4.17 The Result of T-test Calculation of Complexity
Paired Samples Statistics
Mean N
Std. Deviation Std. Error Mean
Pair 1 Precomp
6.7500 20
2.40340 .53742
postcomp 11.0000
20 5.42897
1.21395 Pair 2
Precom 5.8000
20 3.13889
.70188 Postcom
14.8500 20
7.86916 1.75960
Paired Samples Correlations
N Correlation
Sig. Pair 1
precomp postcomp 20
-.008 .973
Pair 2 precom postcom
20 -.065
.785
Paired Samples Test
Paired Differences t
df Sig. 2-tailed
Mean Std.
Deviation Std.
Error Mean
95 Confidence Interval of the
Difference Lower
Upper
precomp –
postcomp -4.25000
5.95487 1.33155 -7.03697
-1.46303 -3.192
19 .005
precom –
postcom -9.05000
8.66010 1.93646
- 13.10305
-4.99695 -4.673
19 .000
