For anlyzing the data, the writer used SPSS (Statistic Package for the Social Science). Version 16.0. The writer got the data from pre-test and post-test between two groups experimental and control groups. Then the writer presented the data by using some steps and techniques as follows:
1. The Analysis of Sudents’ Pretest and Posttest Scores in Control Group 1.1 The Analysis of Students’ Pretest Scores in Control Group
a. Distributions of Frequency Data on Students’ Pretest Scores in Control Group
Distributions of frequency data, the students’ scores are described by presenting a number of student who can got a certain score, and its score’s percentage. In this part, the distributions of frequency data are got from students’ pretest score in control group. Then, the distribution of data was displayed in the table of analysis.
b. Descriptive Statistic on Students’ Pretest Scores in Control Group.
In this part, the data is obtained to get the lowest score (minimun), the highest score (maximum), mean score and the score of standard deviation. Descriptive statistics were got from students’ pretest score in control group.
c. Normality Test of Students’ Pretest Score in Control Group Normality test is used to measure the obtained data whether it is normal or not. According to Basrowi and Soenyono (2007:85) the data is obtained from students’ pretest in control The data can be classified into normal when p-output was higher than 0.025. In analyzing the normality test, 1-sample kolmogronov-smrinov test is used.
1.2 The Analysis of Students’ Posttest Scores in Control Group
a. Distributions of Frequency Data on Students’ Posttest Score in Control Group.
Distributions of frequency data, the students’ scores are described by presenting a number of student who can got a certain score, and its
score’s percentage. In this part, the distributions of frequency data are got from students’ posttest score in control group. Then, the distribution of data was displayed in the table of analysis.
b. Descriptive Statistic on Students’ Posttest Scores in Control Group
In this part, the data is obtained to get the lowest score (minimun), the highest score (maximum), mean score and the score of standard deviation. Descriptive statistics were got from students’ posttest score in control group.
c. Normality Test on Students’ Posttest Scores in Control Group Normality test is used to measure the obtained data whether it is normal or not. According to Basrowi and Soenyono (2007:85) the data is obtained from students’ posttest in control The data can be classified into normal when p-output was higher than 0.025. In analyzing the normality test, 1-sample kolmogronov-smrinov test is used.
2. The Analysis of Students’ Pretest and Posttest Scores in Experimental Groups
2.1 The Analysis of Students’ Pretest Scores in Experimental Group a. Distributions of Frequency Data on Students’ Pretest Scores in
Experimental Group
Distributions of frequency data, the students’ scores are described by presenting a number of student who can got a certain score, and its score’s percentage. In this part, the distributions of frequency data
are got from students’ pretest scores in experimental group.. Then, the distribution of data was displayed in the table of analysis.
b. Descriptive Statistic on Students’ Pretest Scores in Experimental Group
In this part, the data is obtained to get the lowest score (minimun), the highest score (maximum), mean score and the score of standard deviation. Descriptive statistics were got from students’ pretest scores in experimental group.
c. Normality Test on Students’ Pretest Scores in Experimental Group
Normality test is used to measure the obtained data whether it is normal or not. According to Basrowi and Soenyono (2007:85) the data is obtained from students’ pretest in experimental group. The data can be classified into normal when p-output was higher than 0.025. In analyzing the normality test, 1-sample kolmogronov- smrinov test is used.
2.2 The Analysis of Students’ Posttest Scores in Experimental Group a. Distributions of Frequency Data on Students’ Posttest Scores In
Experimental Group
Distributions of frequency data, the students’ scores are described by presenting a number of student who can got a certain score, and its score’s percentage. In this part, the distributions of frequency data
are got from students’ posttest scores in experimental group.. Then, the distribution of data was displayed in the table of analysis.
b. Descriptive Statistic On Students’ Posttest Scores In Experimental Group
In this part, the data is obtained to get the lowest score (minimun), the highest score (maximum), mean score and the score of standard deviation. Descriptive statistics were got from students’ posttest scores in experimental group.
c. Normality Test on Students’ Posttest Scores in Experimental Group
Normality test is used to measure the obtained data whether it is normal or not. According to Basrowi and Soenyono (2007:85) the data is obtained from students’ pretest in control The data can be classified into normal when p-output was higher than 0.025. In analyzing the normality test, 1-sample kolmogronov-smrinov test is used. In this part, the normality test is used to measure students’
posttest in experimental group.
3. Homogeneity analysis
a. Homogeneity Test on Students’ Pretest Scores in Control and Experimental Groups
Homogenity test is used to measure the obtained data whether it is homogen or not. The data can be categorized homogenous whenever it is
higher than 0.05 (Basrowi and Soenyono, 2007:106). The obtained data are achieved from students’ pretest scores in control and experimental groups. In analyzing the homogenity test, levene statistics in SPSS is used.
b. Homogeneity Test of Students’ Posttest Scores in Control and Experimental Groups
Homogenity test is used to measure the obtained data whether it is homogen or not. The data can be categorized homogenous whenever it is higher than 0.05 (Basrowi and Soenyono, 2007:106). The obtained data are achieved from students’ posttest scores in control and experimental groups. In analyzing the homogenity test, levene statistics in SPSS is used.
4. The Result of Independent T-Test Analysis.
In measuring means significant difference between students’ postest scores in control and experimental groups, the writer used an independent sample t-test to compare score of students’ posttest in experimental and control groups.
Significant difference is found whenever the p-output is lower than mean significant difference at 0.05 levels.
CHAPTER IV
FINDING AND INTERPRETATION
This chapter presents (a) Finding of the Study, (b) Interpretation of the study are presented.