42
material. They try to achieve the best score in learning speaking by learn hard.
Moreover, motivated students do all assignment given by teacher well. They do not postpone doing assignment as long as possible. Besides, they
learn hard and follow the teaching and learning process seriously and enjoyable. However, any students are lazy to do assignment from teacher.
When the teacher asked them to do assignment, they postpone as long as possible. It shows that they have low motivation in learning speaking.
The last observed aspect in the classroom is students answered teacher’s question well. When the teacher asked question to motivated students, they
would answer the question as well as possible. They could answer the question in English confidently. However, any students cannot answer the
teacher’s question. They have no confidence to answer the question in front of teacher and other students.
2. Students’ Speaking Score
In this case, the students’ speaking ability is as the dependent variable Y. To know students’ speaking score, the researcher conducted oral test to
the students. The test is evaluated into five criteria; they are pronunciation, grammar, vocabulary, fluency and comprehension.
The five criteria are the components of speaking skill. In this study, the students are scored based on
five components of speaking skill by using the scale rating scores of David P. Harris. Here are the results of students’ speaking ability.
Table 4.3 Score of Students’ Speaking Test Y Variable
Students N Speaking Y
1 74
2 72
3 74
4 74
5 86
6 80
7 70
8 66
9 68
10 68
11 66
43
Table 4.4 Descriptive Statistics
Speaking N
Valid 30
Missing Mean
72.9667 Median
73.0000 Mode
68.00 Std. Deviation
5.68412 Range
22.00 Minimum
64.00 Maximum
86.00
From the data above, we can see that the total score from 30 respondents of students’ speaking score is 2189. By applying SPSS program,
it shows that the mean of students’ speaking score is 72, the median of students’ speaking score is 73, the mode of students’ speaking score is 68,
the standard deviation of students’ speaking score is 5,68, the range of students’ speaking score is 22, the minimum score of students’ speaking is
64 and the maximum score of students’ speaking is 86.
12 68
13 82
14 64
15 68
16 66
17 74
18 70
19 68
20 70
21 80
22 75
23 85
24 78
25 76
26 75
27 72
28 75
29 70
30 75
N=30 ∑Y=2189
44
Based on the result statistic above, the average speaking score is 72. It means that most of students’ speaking ability is in the medium level. It
is seen from the minimum speaking score is 64 and most students got score in 72-78 score.
3. The Correlation between Students’ Motivation in Learning Speaking
and their Speaking Ability .
In this case, both the score of students’ motivation and students’ speaking ability are correlated by Pearson’s Product Moment formula. The
data are described in the following table:
Table 4.5 The Calculation of Questionnaires of Motivation and Speaking Score
Students N
Motivation X
Speaking Y
XY X
2
Y
2
1 88
74 6512
7744 5476
2 87
72 6264
7569 5184
3 87
74 6438
7569 5476
4 86
74 6364
7396 5476
5 87
86 7482
7569 7396
6 91
80 7280
8281 6400
7 88
70 6160
7744 4900
8 78
66 5248
6084 4356
9 87
68 5916
7569 4624
10 88
68 5984
7744 4624
11 86
66 5676
7396 4356
12 87
68 5916
7569 4624
13 92
82 7544
8464 6724
14 78
64 4992
6084 4096
15 83
68 5644
6889 4624
16 78
66 5148
6084 4356
17 87
74 6438
7569 5476
18 85
70 5950
7225 4900
19 82
68 5576
6724 4624
20 86
70 6020
7396 4900
21 88
80 7040
7744 6400
22 93
75 6975
8649 5625
23 87
85 7395
7569 7225
24 91
78 7090
8281 6084
25 82
76 6232
6724 5776
N=25 ∑X=2152 ∑Y=1822 ∑XY=157192 ∑X
2
=185636 ∑Y
2
=133702
45
r
xy
=
∑ ∑
∑
[
∑ ∑
][
∑ ∑
²
r
xy
=
[ ] [
]
=
[ ][
]
=
[ ]
=
√
=
.
= 0.555 From the calculation above, it is found that r
xy
is 0.555. The next step is to find the significance of variables by calculating r
xy
is tested by significance test formula:
57
t
count
=
√ √
In which: t
count
= t value r
= value of correlation coefficient n
= total of sample
57
Riduwan and H. Sunarto, Pengantar Statistika Pendidikan, Sosial, Ekonomi, Komunikasi, dan Bisnis, Bandung: Alfabeta, 2011, p. 81.
46
Therefore, it is calculated that:
t
count
=
√ √
=
.
√ √
.
=
.
√ √
.
=
. .
√
.
=
. .
t
count
= 3.530
Before tested by t
count
, the writer made two hypotheses of significance: an alternative hypothesis Ha and a null hypothesis Ho.
Ha = There is significant correlation between two variables.
Ho = There is no significant correlation between two variables.
The formulation of test: 1. If t
count
t
table
, it means that the null hypothesis is rejected and there is significant correlation.
2. If t
count
t
table
, the null hypothesis is accepted and there is no significant correlation.
Based on the calculation above, the result is compared by t
table
in the significant 0.05 and n = 30. The writer found out the Degree of Freedom Df
with the formula: Df = N – nr
= 30 – 2 = 28
From Df = 28, it is obtained t
table
= 2.048. It means that t
count
is bigger than t
table
or 3.530 2.048. Therefore the alternative hypothesis is
47
accepted. In other words, there is significant correlation between students’ motivation in learning speaking and their speaking ability.
C. The Interpretation of Data
After the writer calculated the data by applying the correlation of Product Moment formula and finding the result of r
xy
, the next level is to give interpretation of the r
xy
. From the analyzing data of students’ motivation in learning speaking X
and students’ speaking score Y, it appeared that the correlation index between X variable and Y variable is 0.555. It means that between both variables has a
medium correlation. It can be seen at simple interpretation toward the correlational index “r” Product Moment r
xy
on the following table:
58
Table 4.6 The Simple Interpretation of r
xy
.
Therefore, from the calculation of both variables above and indicated to the table of interpretation of r
xy
above, it interprets that in both of variables has correlation. By calculation above, it indicates that between X variable and Y
variable has no negative correlation. It means that both of variables have positive correlation one way correlation. It is considered that the higher
motivation of students in learning speaking, the better speaking ability of students will get. In other words, students with high motivation in learning
speaking will get better speaking ability. By looking at the result of r
xy
= 0.555, It shows in the interval 0.40 – 0.70. It indicates the gravity of correlation in this study is in the medium level. It
concluded that there is medium correlation between students’ motivation in learning speaking and students’ speaking ability. It means the alternative
hypothesis of the study is accepted.
58
Ibid, p. 193.
“r” Product Moment rxy Interpretation
0.00 – 0.20 0.20 – 0.40
0.40 – 0.70 0.70 – 0.90
0.90 – 1.00 Very lowweak
Weak Medium
High Very High
