M E
C H
A N
I C
S 5
4
3
2 EXCELLENT TO VERY GOOD: demonstrates mastery of
conventions – few errors of spelling, punctuation,
capitalization, paragraphing GOOD TO AVERAGE: occasional errors of spelling,
punctuation, capitalization, paragraphing but meaning not obscured
FAIR TO POOR: frequent errors of spelling, punctuation, capitalization, paragraphing
– poor handwriting – meaning confused or obscured
VERY POOR: no mastery of conventions – dominated by
errors of spelling, punctuation, capitalization, paragraphing, handwriting illegible, OR not enough to evaluate
F. Technique of Data Analysis
In analyzing the data to see whether there is the correlation betwee n students‘
understanding of past tense and their skill in writing recount text, the writer will used product moment correlation formula.
45
∑ ∑ √ ∑
∑ ∑ ∑
r
xy
: Correlation coefficie nt between students‘ mastery of past
tense and their ability in writing recount text. N
: Number of Respondents X
: Distribution of students score in grammar test Y
: Distribution of students score in writing test. ∑X
: Total score of students score in grammar test. ∑Y
: Total score of students score in writing test. ∑XY : Total numbers of X multiplied by Y
X² : Guarded from X
Y² : Guarded from Y
45
Anas Sudjono, Pegantar Statistik Pendidikan, Jakarta: PT Raja Grafindo Persada, 2005, p. 206.
In giving some simple interpretation for the result ―r‖ in product moment r
xy
, some people commonly use this guide as an interpretation. The figure below shows some interpretation of correlation coefficients.
Figure 3.4 Interpretation of Correlation Coefficients
46
r
xy
Interpretation 0,00
– 0,20 There is very weak relationship between two variables.
Because the relationship is too weak, it is reputed as there is no relationship between those two variables.
0,20 – 0,40
There is a weak relationship between two variables. 0,40
– 0,70 There is some average relationship between two variables.
0,70 – 0,90
There is strong relationship between two variables. 0,90
– 1,00 There is very strong relationship between two variables.
G. Statistical Hypothesis
X = Students‘ understanding of past tense
Y = Students‘ skill in writing recount text
H = XY = 0
H
1
= XY ≠ 0
Significant critical value : 0.05 and 0.01 Criteria
: If r
o
r
t
means there is correlation and H
a
is accepted, H
o
is rejected.
If r
o
r
t
means there is no correlation and H
a
is rejected, H
o
is accepted.
H
o
: There is no significant correlation betwee n students‘ mastery of past
tense and their ability in writing recount text. H
a
: There is a significant correlation between students‘ mastery of past tense and their ability in writing recount text.
46
Ibid., p. 193.
32
CHAPTER IV RESEARCH FINDING AND DISCUSSIONS
A. Research Finding
