E. Technique of Data Collecting
After making the instrument, the researcher will collect the data by giving a test to the students. The test technique was one of the data collecting techniques in
aquantitative research.
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In collecting data, the researcher conducted written test to test students’ writing ability. There was only 1 group of students that being
researched. This group did pretest, 4 meetings of treatment and posttest. Students wrote in personal and gave peer feedback among group member. In the end of the
research, students divided into 2 categories for those ones who were giving elaborated and basic feedback.
1. Pretest
On the first week, the researcher gave explanation about blog such as blog platform, how to create account and how to maintain it. The researcher conducted
pretest on 22
nd
April or the first week of research time. The researcher gave instruction to students to write and give feedback among group member. Students
were divided into 10 groups which is consisted 3 to 4 students. They did written test and gave peer feedback in language laboratory. The next following weeks the
researcher did 4 times treatment on 22
nd
April to 13
th
May 2015. The lesson plan
can be seen on appendix.
2. Postest
On the last week, 20
th
May, the researcher did postest. Posttest is given after the treatment. With the same procedure as pretest, the students were asked to write
and provide feedback on blog platform. After conducting pretest, the researcher and the English teacher d
id score the students’ writing. This way can be referred as inter rater reliability to see the reliability of the instrument. The score describes
in the following chapter.
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Tim Penyusun Pedoman Penulisan Skripsi FITK, Pedoman Penulisan Skripsi, Jakarta:FITK,2014,p.65.
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.