Technique of Data Collection
After that the writer used the correlation formula by Pearson Product Moment Correlation to test the significance relationship between both of variables. The
formula used as follows:
a. Finding the number of correlation using formula: ∑ ∑ ∑
√ ∑ ∑ ∑ ∑
r : product moment correlation coefficient of variable X and Y
N : the total number of samples
X : the students’ score in students’ learning style
Y : the students’ score in their reading comprehension of narrative text
ΣX : the sum of the students’ learning style scores ΣY : the sum of their reading comprehension of narrative text scores
ΣX² :the sum of squares of students’ learning stylescores ΣY² : the sum of squares of their reading comprehension of narrative text scores
ΣX² : the squares of the sum of students’ learning style scores ΣY² :the squares of the sum of their reading comprehension of narrative text
scores ΣXY : the sum multiple of students’ learning style scores and their reading
comprehension of narrative text scores The result of correlation coefficient is then being interpreted to find out it is
strength. The following is to interpret the result of correlation coefficient
1
:
1
Suharsimi Arikunto, Prosedur Penelitian, Jakarta: Rineka Cipta, 2013, p. 319.
Table 3. 3 Correlation Coefficient Table
Product Moment r Correlation
0.00 —0.20
Very Low 0.20
—0.40 Low
0.40 —0.70
Moderate 0.70
—0.90 High
0.90 —1.00
Very High
b. To know the significance between two variables, the formula of the significance test is:
√ √
: r
: value of correlation coefficient n
: number of participants