87
Since the independent and dependent variables of the research have linear correlations, then the condition of applying correlation statistics is fulfilled.
c. Correlation and Hypothesis Testing
This section will find out the correlation between dependent and independent variables using quantitative findings based on the degree of correlation coefficients.
Using the correlation coefficient findings, then the hypothesis which were already formulated were able to be tested in order to reject or to accept the hypothesis.
1 Correlation and Hypothesis Testing between Students’ Learning Style x
1
and Academic Performance y
To find out the correlation between students’ learning style x
1
and academic performance y, I applied Pearson Produce Moment Correlation in SPSS 21. The range
of correlation coefficient was divided into positive correlation which was shown by the correlation coefficient of +1.00, no correlation which was shown by the correlation
coefficient of 0.00, and negative correlation which was shown by the correlation of -1.00. The correlation coefficient between
students’ learning style x
1
and y is shown in Table 4.6
. In Table 4.6, the correlation coefficient between s tudents’ learning style x
1
and academic performance y is 0,44 meaning positive correlation because it is more than
0,00. The degree of correlation is medium because the value is in the interval of 0,40 –
0,59. The interval guidance of the correlation degree is shown in Table 4.7. Table 4.6
Correlation between S tudents’ Learning Style x
1
and Academic Performance y
Correlations
LS AP
LS Pearson Correlation
1 .440
Sig. 2-tailed .015
N 30
30 AP
Pearson Correlation .440
1 Sig. 2-tailed
.015 N
30 30
. Correlation is significant at the 0.05 level 2-tailed.
88
Table 4.7 Degree of Relationship Based on Correlation Coefficient Sugiyono 2008:231
Interval Coefficient Degree of Relationship
0,00 – 0,19
Very Low 0,20
– 0,39 Low
0,40 – 0,59
Medium 0,60
– 0,79 Strong
0,80 – 1,00
Very Strong Figure 4.4
shows how the tendency of scoring mostly goes up to the right side and only few of them goes down. The tendency and correlation coefficient
show that there is positive correlation between s tudents’ learning style x
1
and academic performance y. Since there is positive correlation between
students’ learning style x
1
and academic performance y, then h is rejected and h
1
is accepted in the hypothesis 1.
Figure 4.4 Scatter Plot of
Correlation between S tudents’ Learning Style x
1
and Academic Performance y
89
2 Correlation and Hypothesis Testing between English Speaking Ability x
2
and Academic Performance y
To find out the correlation between English speaking ability x
2
and academic performance y, I applied Pearson Produce Moment Correlation in
SPSS 21. The correlation coefficient between English speaking ability x
2
and academic performance y is shown in Table 4.8. In Table 4.8, the correlation
value between English speaking ability x
2
and academic performance y is 0,88 meaning positive correlation because it is more than 0,00. The degree of
correlation is very strong because the value is in the interval of 0,80 – 1,00.
Table 4.8 Correlation between English Speaking Ability x
2
and Academic Performance y
Correlations
SA AP
SA Pearson Correlation
1 .881
Sig. 2-tailed .000
N 30
30 AP
Pearson Correlation .881
1 Sig. 2-tailed
.000 N
30 30
. Correlation is significant at the 0.01 level 2-tailed.
Figure 4.5 shows how the tendency of scoring mostly goes up to the right
side and only few of them goes down. The tendency and correlation coefficient show that there is positive correlation between English speaking ability x
2
and academic performance y. Since there is positive correlation between English
speaking ability x2 and academic performance y, then h is rejected and h
1
is accepted in the hypothesis 2.
90
Figure 4.5 Scatter Plot of
Correlation between English Speaking Ability x
2
and Academic Performance y
3 Correlation and Hypothesis Testing between Students’ Learning Style x
1
and English Speaking Ability x
2
To find out the correlation between students’ learning style x
1
and English speaking ability x
2
, I applied Pearson Produce Moment Correlation in SPSS 21. The correlation coefficient between
students’ learning style x
1
and English speaking ability x
2
is shown in Table 4.9. In Table 4.9, the correlation coefficient between s
tudents’ learning style x
1
and English speaking ability x
2
is 0,48 meaning positive correlation because it is more than 0,00. The degree of correlation is medium because the correlation coefficient is in the interval of 0,40
– 0,59.
91
Table 4.9 Correlation between S
tudents’ Learning Style x
1
and English Speaking Ability x
2
Correlations
LS SA
LS Pearson Correlation
1 .484
Sig. 2-tailed .007
N 30
30 SA
Pearson Correlation .484
1 Sig. 2-tailed
.007 N
30 30
. Correlation is significant at the 0.01 level 2-tailed.
Figure 4.6 shows how the tendency of scoring mostly went up and only few
of them went down. The tendency and correlation coefficient show that there is positive correlation between s
tudents’ learning style x
1
and English speaking ability x
2
. Since there is positive correlation between students’ learning style x
1
and English speaking ability x2, then h is rejected and h
1
is accepted in the hypothesis 3.
Figure 4.6 Scatter Plot of
Correlation between S tudents’ Learning Style x
1
and English Speaking Ability x
2
