The Techniques of the Data Analysis
G. The Techniques of the Data Analysis
The researcher analyzed the qualitative data by using three steps.
a. Reduction of data; the researcher evaluated and classified the data based on the information from the observation and must be organized according to the statement of the research. In this step, the researcher categorized and reduced the unuseful data taken from the observation sheet and field notes.
b. Explanation of data; all the data that had been organized will be explained to clarify all the information of the data, made into the table, graphic or narration form.
c. Conclusion; after the explanation of the data is made, the researcher took one conclusion about the data.To analyze observation sheet, the researcher used formula as Tuckman in Nurgiyantoro (1986: 287) writes:
PD (%)=
x 100
in which: PD :
refers to percentage degree.
F : refers to frequency of the researcher’s and the students’ activities have been already done.
TA : refers to the whole activities of the researcher and the students. 100 :
refers to the constant and maximal number of percentage.
The researcher calculated the percentage for each of the data to guarantee whether the teaching-learning process is successful as designed by the researcher in the lesson plan. Furthermore, Nurgiyantoro (2001:399) asserts that the researcher’s activities are classified in the following scale (%).
0%-39 : the degree of teaching level is fail. 40%-59%
: the degree of teaching level is less. 60%-74%
: the degree of teaching level is enough.
75%-84% : the degree of teaching level is good. 85%-100% : the degree of teaching level is very good.
While the students’ activities are classified to the following scale (%). 0% - 39%
: the degree of the students’ activities level is fail.
40% - 59% : the degree of the students’ activities level is less. 60% - 74% : the degree of the students’ activities level is enough. 75% - 84% : the degree of the students’ activities level is good. 85% - 100% : the degree of the students’ activities level is very good.
Meanwhile to analyze the quantitative data, the researcher used scoring rubric adapted from Brown (2007).
Obtained Score
Mark =
x 100
40/Maximal Score
After getting the value, the researcher classified the value according to the degree of ability such as presented below:
0 - 39 is classified as fail.
40 - 59 is classified as less.
60 - 74 is classified as enough.
75 - 84 is classified as good.
85 - 100 is classified as very good.
As the indicator of students’ achievement, the researcher used Minimum Competence Criterion (MCC) that has been decided 1 SMP Negeri 1 Lotu is 65 score. In the third meeting of Cycle I, the researcher gave test to the students’ which extend to know the students’ ability in writing descriptive text. So, in Cycle
I most of the students did not past on MCC, the average of students’ score was
36.76. Therefore, the researcher decided to continue the research in the Cycle II by doing some improvements based on the students’ weaknesses in Cycle I. In Cycle
II the grade of students’ value increased, whereas the average of the students’ value was 74.70. Because in the second meeting of the Cycle II had past the students on MCC that had been decided the researcher did not continue in the next cycle more.