documentation such as students’ name list, students’ score in English language test, the list of students who join English language course, and
etc.
F. The Technique of Data Analysis
Data analysis is the technique that used to explain the information or the datum which is gotten by the writer. It is used to help the reader understand what
the writer mean. Here are some steps that the writer used.
1. Editing
Editing is the first step that used to process the data. It is mean that the writer check the list of the students’ attendance that given by the teacher. After
that she classified it. 2.
Classifying After got the data from the teacher and edited it, the next step is classifying.
In this step, the writer divide the students into two groups according to the students their attendance in English language course, the first group is the students
who have the score under 70 and the second group is the students who have the score up to 70. To get the score of the students’ attendance she used the formula:
Score =
3. Tabulating
After classified the students according to their attenda nces’ score, the writer
put them into the table. Because she used 2 method in this research, the tabulating of the data was put into the table of comparative and correlational table formula.
4. Analyzing
For the next step, the writer processed and analyzed the data. The first, the writer analyzed the scores between the students who always attend the course and
the students who rarely attend the course. To find out the difference of students’
achievement, she used the technique of data analysis in this research is statistical analysis with t-
Formula
, and the formula is as follow:
t
̅ ̅
√
And to know the significant of the value of the t then she compared with t- table.
After the writer know the result of difference between them, the she correlate the students’ attendance score with students’ achievement in English
language learning. The writer used the product moment correlation coefficient formula.
The formula is:
r
xy=
∑ ∑ ∑ √ ∑
∑ ∑
∑
r
xy
= Correlation coefficient between X and Y
∑XY = sum of cross products of deviation scores for X and Y ∑X
= total score of X ∑Y
= total score of Y N
= Number of Cases After she found the correlation or the “r” score, there are two ways to
interpret it: -
Simple interpretation, it compares the result of the calculation of the research with the index number of “r” product moment correlation as below:
