Instrument of the Study
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:
Tabel3.4 Interpretation number of correlation index
“r” Product Moment
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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:
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AnasSudijono, PengantarStatistikPendidikan, Jakarta: PT Raja GrafindoPersada, 2008, Cet. 1, h. 193.