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research the researcher used a set of questions and developed to get more relevant information needed.
3.5.3 Documentation Arikunto 1998:149 explains that documentation is used to get data from
written documentation such as books, magazine, document, regulations, daily notes, etc. In this research the documents was used to get supporting data related
to the syllabus used by the English teacher, and the number and the name of the respondents.
3.6 The Data Analysis Method
Data Analysis method is the way to analyze the obtained data. In this research, the primary data was
obtained from the students’ writing score in the post test. Then, the mean score both experimental and control groups were
compared one to another to know whether or not there is a significant effect between them after giving the treatment. The procedures of applying independent
sample t-test on SPSS to analyze the data will be described as follows: a. Opening the SPSS program in the computer
b. Setting the Variable View based on the data obtained c. Entering the data in Data View
d. Selecting Analyze in toolbar menu, choosing Compare Mean afterwards and selecting Independent Sample t-test
e. Resetting the Independent Sample t-test dialogue box to make sure the variable is put in the right way, entering the Post-test Scores into Test
Variables box and the Group into Grouping Variable box, defining the grouping variable by setting 1 for the experimental group and 2 for the
control group, then clicking Option to set the confidence interval into 95 and clicking continue
f. Clicking OK to run the test
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g. Interpreting the result of the computerized test by looking at the Levene’s
Test for Equality of variances column. This table is used to know whether or not the groups have score variability
h. After reading Levene’s Test for Equality of Variances column, then the
researcher has to look at the large column labeled t-test for equality means. Lund and Lund, 2012:1
The t-test formula is used as follows:
Mx: mean score of experimental group My: mean score of control group
Ʃ x
2:
individual score deviation of experimental group Ʃ y
2
: individual score deviation of control group n
x
: the number of the respondents in the experimental group n
y
: the number of the respondents in the control group Adapted from Arikunto, 1998:306
The Procedures of Data Analysis:
1. Conducting the post test in the form of writing test to experimental and control group.
2. Scoring the test of experimental and control group. 3. Finding the mean score of experimental and control group.
4. Finding the Ʃ X
2
for experimental group and Ʃ Y
2
for control group. 5. Analyzing the result by using t-test formula to find the significance mean
difference of both experimental and control group. 6. The result of t-test will be consulted to the t-table 5 of the significance level
confidence interval 95 to know whether the result is significant or not. If the result of the t-test is higher than t-table, it means that the null hypothesis is
{ } {
}
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rejected and the result of this research is significant. Furthermore, the degree of freedom is Df = Na+Nb-2.
Then, to know the degree of the effectiveness of the treatments the following formula of DRE Degree, of Relative Effectiveness will be used.
DRE = Mx- My x 100 My
Notes: DRE: Degree of Relative Effectiveness
Mx: mean of the experimental group My: mean of the control group
Adapted from Masyhud, 2012:134
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IV. RESEARCH RESULT AND DISCUSSION
This chapter presents the research activities in both experimental and control including the schedule of administering the research. Besides, this chapter
also provides the results of interview, the result of documentation, the result of homogeneity test, the analysis of the try out, the description of the treatment, the
result of the post test, the hypothesis verification, and discussion.
4.1 The Research Activities
