Instrument Technique of Data Analysis

D. Technique of Data Collecting

In collecting the data, the writer uses quantitative data. The writer collects the data of the research by giving test to the students. The tests consists of pre-test and post-test. The pre-test is given before the treatment and the post-test is given after the treatment. From these data the writer determines the result of the research. There are some steps in collecting the data: 1. The writer begins the research by observing the condition and population of MTs Al-Ikhwan, the writer also takes some supporting data for the research. 2. The writer takes the sample from the population of grade VIII students of MTs Al-Ikhwan. The samples are class VIII.A as experimental class and VIII.B as control class. 3. The writer takes the same instrument for the students pre-test. 4. The next step is the treatment. The experimental class will be taught by using Jigsaw technique and the control class will be taught by using Grammar Translation Method. 5. After the treatment consists of four meeting finish, the writer takes the test to the students post-test. 6. Finally, the data calculated by using T-test formula.

E. Instrument

The instrument of this research is test. The test is divided into pre-test and post-test. The pre-test is conducted in the first meeting, before the treatment and the post-test is conducted in the last meeting, after the treatment. The test consists of 30 items of multiple choices.

F. Test of Statistical Requirement

1. Testing Data Normality

The writer uses Kolmogorov Smirnov test to analyze normality test 25 . This test is intended to determine whether the data is normally distribution or not. The statistical calculation of normality test uses Kolmogorov Smirnov. The data is normally distributed if significant 0.05 and the data is not normally distributed if significant 0.05.

2. Testing Data Homogeneity

The writer uses Levene test to analyze the homogeneity test. This test is intended to test the similarity of two variants of a normally distributed population. The statistical calculation of homogeneity test uses Levene test. In this test the variances of the experimental and control group are homogenous if significant 0.05. The variance of the experimental and control group are not homogeneous if significant 0.05.

G. Technique of Data Analysis

The analysis quantitative data that used in this study is T-test to determine the final calculation of the research. It is used to know the difference score between the experiment class and control class. In this research the writer uses the formula that compares two small samples that have no relationship each other. Formula of T-test 26 : M 1 : Mean of the Difference of Experiment Class M 2 : Mean of the Difference of Control Class 25 Duwi Priyanto, Mandiri Belajar Analisis Data dengan SPSS, Yogyakarta: Mediakom, 2013, p.34-38. 26 Anas Sudijono, Pengantar Statistik Pendidikan, Jakarta: PT Raja Grafindo Persada, 2012, p. 314. SE M 1 : Standard Error of Experiment Class SE M 2 : Standard Error of Control Class The data have been collected from the pre-test and post-test then were analyzed by the following steps: 1. Finding out gained score of students‟ scores by comparing students‟ post- test and pre-test score and describing it on the tables. Then the writer determining the variable of the data, the gained scores of experimental class is variable X and the gained scores of control class is variable Y. 2. Determining mean X with the formula: ∑ 3. Determining mean Y with the formula: ∑ 4. Determining the standard deviation of variable X: = √ ∑ 5. Determining the standard deviation of variable Y: = √ ∑ 6. Determining the standard error mean of variable X: = √ 7. Determining the standard error mean of variable Y: = √ 8. Determining the standard error mean difference of M 1 dan M 2 : = √ 9. Determining t with the formula: 10. Determining t-table in significance level 5 with df: df= N 1 + N 2 – 2 11. Giving interpretation.

H. Statistical Hypothesis

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