Data Description RESEARCH FINDINGS

data has been normality distributed or not; the data are homogeneous or heterogeneous. The writer used SPSS Statistic 18 to count the normality of each test. The test would be normal distribution if the result of calculation from SPSS Statistic 18, the number showed less than the result in Kolmogorov-Smirnov table with the number of sample n is 35. These tests are valued using SPSS Statistic 18. The normality Using One- Sample Kolmogorov-Smirnov Test results can be seen as bellow: Table 4.1 Normality of Pre-test Using One-Sample Kolmogorov-Smirnov Test One-Sample Kolmogorov-Smirnov Test KWL Plus Jigsaw N 35 35 Normal Parameters a,b Mean 53.7143 55.0857 Std. Deviation 11.53147 12.12040 Most Extreme Differences Absolute .136 .130 Positive .090 .099 Negative -.136 -.130 Kolmogorov-Smirnov Z .803 .769 Asymp. Sig. 2-tailed .539 .595 a. Test distribution is Normal. b. Calculated from data. The normality calculation above used One-Sample Kolmogorov-Smirnov Test. From the table above, it is shown that the absolute difference D of KWL Plus Experiment Class data is 0.136. It is much less that absolute difference in Kolmogorov-Smirnov table with the closest Kolmogorov-Smirnov critical points of 35 = 0.224. It means that the pre-test of experiment class data is normal. Meanwhile, the absolute difference of Jigsaw Controlled Class data is 0.130. I is also much less than D-table with the closest Kolmogorov-Smirnov critical points of 35 = 0.224. It can be conclude that the pre-test of controlled class is normal, too. Table 4.2 Normality of Pre-test Using Lilliefors kelompok Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. Nilai KWL Plus .136 35 .102 .948 35 .096 Jigsaw .130 35 .142 .965 35 .315 a. Lilliefors Significance Correction Besides using the normality test calculation of One-Sample Kolmogorov- Smirnov Test the writer also using Lilliefors test. It shows that the normality is significant too. It is shown the absolute difference D in Lilliefors table of KWL Plus Experiment Class data is 0.136 and the absolute different D in Lilliefors table of Jigsaw Controlled Class data is 0.130. Both absolute different D of Experiment class data and the absolute different D of Controlled Class data are much less than the calculation Kolmogorov-Smirnov table with critical points of 35 = 0.224. Table 4.3 Normality of Post-test Using One-Sample Kolmogorov-Smirnov Test KWL Plus Jigsaw N 35 35 Normal Parameters a,b Mean 72.1714 68.6857 Std. Deviation 9.99260 10.78062 Most Extreme Differences Absolute .106 .132 Positive .090 .125 Negative -.106 -.132 Kolmogorov-Smirnov Z .629 .780 Asymp. Sig. 2-tailed .824 .576 a. Test distribution is Normal. b. Calculated from data.