Tabel3.4 Interpretation number of correlation index
“r” Product Moment
8
Score number of “r”
product moment - Interpretation
0,00-0,20 There is correlation between variable
X and Variable Y, but its correlation is too weak or too low.
0,20-0,40 There is a weak low correlation
between variable X and Variable Y. 0,40-0,70
There is enough or medium correlation between variable X and variable Y.
0,70-0,90 There is a strong high correlation
between variable X and Variable Y. 0,90-1,00
There is a very strong high correlation between variable X and variable
Y.
- Interpretation of the “r” and “t” score using the formula as follows:
df= N-nr
df = Degrees of freedom
N = Number of Cases
Nr = Number of Variable
After that the result of the interpretation is compares with the table of coefficient “r” roduct moment Pearson on the standard of significant 1 or 5.
To search and know the contribution of variable X to variable Y use the formulas as follows:
8
AnasSudijono, PengantarStatistikPendidikan, Jakarta: PT Raja GrafindoPersada, 2008, Cet. 1, h. 193.
KD= r2x100
KD = coefficient of Determination
R =coefficient correlation between X and Y
G. Statistical Hypothesis
To find out the answer of the problem, the writer should propose Alternative hypothesis Ha and Null hypothesis Ho as a follow:
1. Alternative hypothesis Ha:
- There is a difference between students who always attend the English
language course and the students who rarely attend the course. -
English language Course students’ attendance influence the students’ achievement in English Language Learning.
2. Null hypothesis Ho:
- There is no difference between students who always attend the English
language course and the students who rarely attend the course. -
English language Course students’ attendance doesn’t influence the students’ achievement in English Language Learning.
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CHAPTER IV RESEARCH FINDING AND INTERPRETATION
A. Research Finding
1. Description of the Data
The writer conducted the research about the difference between student who always attend the English language course and the students who rarely attend the
English language course. To know that that she used the documents of both variables, she asked the
list of students’ attendance to the English language committee and asked the result of final test score in the forth semester 2013-2014 academic year.
After that she recapitulated the students’ attendance and gave the score according to their attendance. Then, she divided the students into two; the students
who always attend the course up to 70 and the students who attend no more than 70. The total of the meeting is 16 times.
After she find the difference between two group then she also correlated the d
ata, to know whether the students’ attendance in English language course influence the students achievement in English language learning or not.
Here are the lists of the students according to their attendance in English Language course.
Table 4.1 Score
of students’ attendance in English language course
No Students
Students’ attendanc
e sa Total of
course’ meeting tcm
100 Score X
satcm.100
1 Student 1
10 16
100 63
2 Student 2
2 16
100 13
3 Student 3
6 16
100 38
4 Student 4
6 16
100
38
5 Student 5
7 16
100 44
6 Student 6
7 16
100 44
7 Student 7
8 16
100 50
8 Student 8
8 16
100 50
9 Student 9
9 16
100
56 10 Student 10
9 16
100 56
11 Student 11 9
16 100
56 12 Student 12
9 16
100 56
13 Student 13 10
16 100
63 14 Student 14
10 16
100
63 15 Student 15
10 16
100 63
16 Student 16 10
16 100
63 17 Student 17
10 16
100 63
18 Student 18 11
16
100
69 19 Student 19
11 16
100
69 20 Student 20
11 16
100 69
21 Student 21 12
16 100
75 22 Student 22
12 16
100 75
23 Student 23 12
16
100
75 24 Student 24
12 16
100
75 25 Student 25
13 16
100 81
26 Student 26 13
16 100
81 27 Student 27
13 16
100 81
28 Student 28 13
16
100
81 29 Student 29
13 16
100
81 30 Student 30
14 16
100 88
31 Student 31 14
16 100
88 32 Student 32
14 16
100 88
33 Student 33 14
16
100
88 34 Student 34
14 16
100
88
35 Student 35 14
16 100
88 36 Student 36
14 16
100 88
37 Student 37 14
16 100
88 38 Student 38
14 16
100 88
39 Student 39 14
16
100
88 40 Student 40
14 16
100 88
To find the students’ achievement in English language learning in the classroom, then the writer took the documentation of final test score to analyze the
data. And here are the lists of students’ score in their final test.
Table 4.2 Students’ score at Final test
No Students
Score Y
1 Student 1
82 2
Student 2 76
3 Student 3
80 4
Student 4 66
5 Student 5
58 6
Student 6 56
7 Student 7
62 8
Student 8 55
9 Student 9
60 10
Student 10 62
11 Student 11
75 12
Student 12 65
13 Student 13
52 14
Student 14 68
15 Student 15
60 16
Student 16 65
