Testing Normality and Homogeneity

1. Testing Normality and Homogeneity

The researcher calculates the result of pre-test and post-test score of experiment and control class by using SPSS 18.0 program. It is used to know the The researcher calculates the result of pre-test and post-test score of experiment and control class by using SPSS 18.0 program. It is used to know the

a. Testing Normality and Homogeneity of Pre-Test

The researcher applied SPSS 18.0 program to calculate t test in testing normality of the study. The result could be seen as follows: 1). Normality The researcher applied SPSS 18.0 program to calculate t test in testing

normality of the study. The result of the t test using SPSS 18.0 program could be seen as follows:

Table 4.13 Testing Normality of Pre-Test Experimental and Control Group Tests of Normality

Tests of Normality

Kolmogorov-Smirnov a Shapiro-Wilk

df Sig. Experiment

Statistic

df Sig.

44 .165 The table showed the result of test normality calculation using SPSS 18.0

program. To know the normality of data, the formula could be seen as follows: If the number of sample > 50 = Kolmogorov-Smirnov If the number of sample < 50 = Shapiro-Wilk Based on the number of data, both of experiment and control group

consisted 88 > 50, so to analyzed normality data the researcher used Kolmogorov-

Smirnov with the level of significant 5% (a=0.05). The next step, the researcher analyzed normality of data used formula as follows:

If Significance > 0.05 = data is normal distribution If Significance < 0.05 = data is not normal distribution Based on data above, significant data of experiment and control group

used Kolmogorov-Smirnov was 0.161 > 0.05 and 0.116 > 0.05. It could be concluded that the data was in normal distribution.

2). Homogeneity The researcher applied SPSS 18.0 program to calculate t test in testing

homogeneityof the study. The result of the t test using SPSS 18.0 program could

be seen as follows:

Table 4.14 Testing Homogeneity of Pre-test Experimental and Control Group

Test of Homogeneity of Variances

Experiment Levene Statistic

The table showed the result of Homogeneity test calculation using SPSS

18.0 program. To know the Homogeneity of data, the formula could be seen as follows:

If Sig. > 0.05= Equal variances assumed or Homogeny distribution If Sig.< 0.05 = Equal variances not assumed or not Homogeny distribution

Based on data above, significant data was 0,425. The result was 0,425 >

0.05, it meant that the t-test calculation used at the equal variances assumed or data was Homogeny distribution.

b. Testing of Normality and Homogeneity for Post-Test of Experiment and Control Class

1). Normality

Table 4.15 Testing Normality of post-test experimental and control group Homogeneity Test

Tests of Normality

Kolmogorov-Smirnov a Shapiro-Wilk

Statistic

df Sig.

Statistic

df Sig.

44 .167 NT CONTROL

The table showed the result of test normality calculation using SPSS 18.0 program. To know the normality of data, the formula could be seen as follows: If Significance > 0.05 = data is normal distribution If Significance < 0.05 = data is not normal distribution. Based on the data above, it could be seen that p-value (sig) of the posttest

scores of the experiment group was 0.200 and control group was 0.065 which higher than the level significance (0.05). Thus, it can be concluded that the data was normal distribution.

2). Homogeneity

Table 4.16 Testing Homogeneity of Post-test Experimental and Control Group

Test of Homogeneity of Variances EXPERIMENT

Levene Statistic

Based on the result of homogeneity test, the data are homogeneous if the significantvalue is higher than significance level a= 0.05. Table 4.20 proves that the significant value (0.187) is higher than significant level = 0.05, it can be concluded that the data are homogeneous. It means that both of classes have same variants.