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Pretest Postest Technique of Data Collecting

F. Technique of Data Analysis

The next process of the research is data analysis. The researcher analyzed data by counting pretest and postest scores. Moreover, the researcher processed participants’ comments and analyzed the interviewed result. The researcher had the normality and homogeneity test to ensure that students’ writing was normal and homogeneous. The parametric statistic used is T-test formulation to analyze the data that gained from pretest and postest.

1. Test of Normality

The researcher used SPSS to analyzed normality to ensure that the data is normally distributed. Normality test is used to know whether the data come from the normal distribution or not. The normality test is done with Liliefors test with requirement as follows: If score of L value ≤ L table , so the data comes from the normal population, but if it is not fulfilled this requirement, so the data does not come from normal population. Score of L value is got from Liliefors formula as follows: ̅ in which, Z i = normality X i = data from every sample = deviation standard ̅ = mean The criteria of determining the normality of the data was: a. If L value was smaller than L table L value L table , it means that the data were distributed normally b. If L value greater than L table L alue L table , it means that the data were not distributed normally.

2. Test of Homogenity

Homogeneity test is used to know whether the data come from the homogeneous variance or not. After normality test gives indication that the data is distributed normally, so it needs to do homogeneity test with Fisher test F test. The steps of determining homogeneity are: a. Dividing the larger variance by the smaller one. If the variances are similar to each other, the F-value will be close to 1. The more the variances differ, the larger the F-value will be. b. Comparing the obtained F-value to the appropriate one in the table. If the obtained F-value is equal to or larger from the table value, then the data is lack homogeneity of variance Hypothesis: Ho: The condition of experiment class is not different from controlled class. H1: The sample of experiment class is different from controlled class. If F F 12α n1-1n2-2, H o is accepted If F F 12αv1,v2, H o is rejected

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