The Homogeneity Test RESEARCH FINDING

Table 4.6 One-Sample Kolmogorov-Smirnov Test on Post-test Data Post Test Experiment Post Test Control N 35 35 Normal Parameters a,b Mean 62.86 54.60 Std. Deviation 9.879 11.561 Most Extreme Differences Absolute .108 .132 Positive .063 .132 Negative -.108 -.109 Kolmogorov-Smirnov Z .639 .780 Asymp. Sig. 2-tailed .809 .577 a. Test distribution is Normal. b. Calculated from data. From the table 4.6, it can be seen that the Sig.Significant value of the test is 0.809 on the experiment class and 0.577 on the control class. Then, compared with the value of α, which is 0.05, it can be assumed that 0.809 0.05 and 0.5770.05. Thus, the conclusion of the test is that Ho for the experiment class is accepted and the experiment class and the control class on the post-test has a normal distribution

D. The Hypothesis Test

To answer the question: 1. Is there any significance difference on students‟ reading comprehension achievement after they are taught by using Think-Aloud? 2. Does Think-Aloud enhance the awareness of students toward their reading strategy The writer analyzes the data obtained from the reading test‟ result pre and post-test, and the data obtained from the questionnaire to answer the question above. Thus, the analyzing data in this section is divided in two, which are reading test data analysis to answer question number 1 and questionnaire analysis to answer question number 2.  The Reading Test Data Analysis Before the data analysis is described, the writer would like to re-emphasizes the hypothesis of the research. The hypothesis are described as below: H : There is a significant difference of students‟ reading achievement after they are taught using Think-Aloud. H 1 : There is no a significant difference of students‟ reading achievement after they are taught using Think-Aloud. To know which hypothesis is accepted, the writer analyzed the data using Independent T-test, and the result is shown in the table below. Table 4.7 The Independent T-test Post Test Score t df Sig. 2- tailed Mean Difference Std. Error Difference Equal variances assumed 3.212 68 .002 8.257 2.570 Equal variances not assumed 3.212 66.386 .002 8.257 2.570 From the table above, it can be seen that the score of sig. is 0.02. The value if sig2- tailed is lower than α=0.05. Thus, since the value of sig. is lower than α 0.020.05 H 1 is accepted. It indicates that there is a significance differences between control class and experiment class in the post-test. Afterwards to know how far Think-Aloud influenced the experiment class, the gain difference is conducted to both classes. The gain differences are shown in the table below: Table 4.8 The Gain Differences Test Result The Experiment Class The Control Class Pretest Post-test Pretest Post-test 52.54 62.68 47.37 54.60 Gain: 0.217446 Gain: 0.137374

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