Analysis of Data Homogeneity

b. � Null Hypothesis: “The use of Know Want Learn Plus is not more effective in teaching reading of analytical exposition text than the use of jigsaw in teaching reading of analytical exposition text.” To prove the hypothesis, the obtained data from experiment class and controlled class were calculated by using t-test formula with assumption as follows: If � ≥ t-table in significant difference of 1 - ½ α, the Alternative Hypothesis � � is accepted and Null Hypothesis � is rejected. It means that the use of Know Want Learn Plus is more effective in teaching reading of analytical exposition text than the use of jigsaw in teaching reading of analytical exposition text. If � ≤ t-table in significant difference of 1 - ½ α, the Alternative Hypothesis � � is rejected and Null Hypothesis � is accepted. It means that the use of Know Want Learn Plus is not more effective in teaching reading of analytical exposition text than the use of jigsaw in teaching reading of analytical exposition text. Based on the calculation above, the value of � is 3.05 and the degree of freedoms is 68 with 1 - ½ α degree of significance is used by the writer. The writer used 1 - ½ α because she did a social research. Based on the significance, it can be seen that on degree of freedom of 68, and 1 - ½ α α = 0.05 in degree of significance the value of t-table is 1.995. By comparing the result of t-table to, in the degree of significance of 5, it can be seen that � t-table 3.05 1.995. According to the results, it can be conclude that the Null Hypothesis � is rejected, meanwhile the Alternative Hypothesis � � is accepted.

5. Interpretation

From the research findings above, it can be shown that in the post-test, students from experiment class perform better than students from controlled class. It can be seen from the result of the average score of post-test of experiment class and controlled class. The average score of post-test in experiment class is 71.89. Meanwhile, the average score of post-test in controlled class is 69.66. So the average score of post-test of experiment class is higher than average score of post- test of controlled class or 71.89 69.66. Afterward, the experiment and controlled class students’ gain score illustrates that the average gain score for experiment class students is higher than the average gain score for controlled class students. The average gain score of experiment class is 18.34. Then, the average gain score of controlled class is 13.6. In addition, from the data testing we can interpret that both pre-test and post-test have normal distribution as shown by the normality test that was count by the use of SPSS calculation. The result of normality of pre-test shown the absolute difference D of experiment class KWL Plus data is 0.136. It is much less that D-table with the critical points of 35 = 0.224. Moreover, the absolute difference D of controlled class Jigsaw data is 0.133. It is also much less than D-table with critical points of 35 = 0.224. It means the pre-test of both experiment and controlled class is normal. In the other side, the result of normality of post-test shows the absolute difference D of experiment class is 0.155. Then, the absolute difference D of controlled class is 0.140. Both of the absolute difference D data are much less than Kolmogorov-Smirnov table with critical points of 35 = 0.224. It can be concluded that the post-test of both experiment and controlled class is normal. Moreover, it is also confirmed that both experiment and controlled class are classified as homogenous group according to the SPSS calculation. From the result of homogeneity test of pre-test, it can be seen that the degrees of significance are 0.804, 0.755, 0.755, and 0.758. It is higher than 0.01. And from the result of homogeneity test of post-test, it can be seen that the degrees of

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