Conceptual Definition Operational Definition
r =
In which: N
= the number of respondent X
= the student’s score in collocation knowledge Y
= the student’s score in reading comprehension ΣX
= the sum of collocation knowledge score ΣY
= the sum of reading comprehension score ΣX
2
= the sum of squares of collocation knowledge score ΣY
2
= the sum of squares of reading comprehension score ΣX
2
= the squares of the sum of collocation knowledge score ΣY
2
= the squares of the sum of reading comprehension score ΣXY = the sum multiple of collocation knowledge score and reading
comprehension score Then, the contribution of the independent variable x towards the dependent
variable y was investigated through the determination coefficient r
2
as follows:
4
R = r
2
x 100 R
= value of determinant coefficient r
2
= value of the squared correlation coefficient Moreover, after getting the r score, the significance between two variables
was tested to know the correlation between variable X and variable Y. The formula of the significance test is:
5
t
count
= t
o
= t value
4
Subana, et al. Statistik Pendidikan, Bandung: Pustaka Setia, 2000, p. 145.
5
Sugiyono, Metode Penelitian Kuantitatif, Kualitatif dan R D, Bandung: Alfabeta, 2013, p. 187.
r = value of correlation coefficient
n = number of sample
After getting the index score of r correlation, product moment r
xy
usually used the interpretation such as bellow.
6
Table 3.3 The Interpretation of Correlation
The score of “r” product moment r
xy
Interpretation
0.00—0.19 There is a relationship between X and Y, but the
correlation is very weak or little so it is ignored or it is considered no correlation in this rating.
0.20—0.39 There is a relationship between X and Y, but it is
weak or little. 0.40—0.59
There is a relationship between X and Y. The value is medium.
0.60—0.79 There is high relationship between X and Y.
0.80—1.00 There is a very high relationship between X and
Y.