Table 3.5 The Result of Normality Test
Tests of Normality
Kolmogorov-Smirnov
a
Shapiro-Wilk Statistic
df Sig.
Statistic Df
Sig. Total
.113 31
.200 .967
31 .449
a. Lilliefors Significance Correction . This is a lower bound of the true significance.
With and N = 33,
and it can be described
then can be concluded that the items of the instrument are normal.
2. The Documentation
To know the students’ English learning achievement, the researcher used their midterm scores as the documentation. The
data was collected from the English teacher. The detail score can be seen in the appendix.
E. The Technique of Data Analysis
After getting data from the students in the questionnaire, the researcher need to analyze the data and correlate between questionnaire result and
stu dents’ English learning scores. The researcher did description analysis
to describe the data statistically. The technique on data analysis used correlation technique from
Pearson Product Moment
1
, that is;
√[ ][
]
1
Prof. Drs. Anas Sudijono, Pengantar Statistik Pendidikan, Jakarta: Raja Grafindo Persada, 2006 p. 209.
Explanation: = Coefficient of correlation between X variable and Y
variable ∑X
= Sum of score in X distribution ∑Y
= Sum of score in Y distribution ∑XY
= Sum of multiplication of X and Y N
= Number of Respondents X
2
= Sum of X quadrate Y
2
= Sum of Y quadrate
With that formula, the researcher got r coefficient that can describe the correlation between X variable and Y variable, as below
2
: Table 3.6
The Interpretation of Correlation Interpretation
0.00 – 0.20 The correlation between X variable and Y variable is
very weak or can be told there is no correlation between the variables
0.20 – 0.40 There is weak correlation between X variable and Y
variable 0.40
– 0.70 There is enough correlation between X variable and Y variable
0.70 – 0.90 There is strong correlation between X variable and Y
variable 0.90
– 1.00 There is very strong correlation between X variable and Y variable
2
Iqbal Hasan, Analisis Data Penelitian dengan Statistik, Jakarta: PT Bumi Aksara, 2009 p. 44.
F. The Statistical Hypothesis
The statistical hypothesis with significance level 5 was formulated as follow:
H
o
: r = 0 H
a
: r ≠ 0
If means there is correlation between X variable and Y
variable, H
a
is accepted and H
o
is rejected. If
means there is no correlation between X variable and Y variable, H
o
is accepted and H
a
is rejected.
27
CHAPTER IV RESEARCH FINDINGS AND DISCUSSION
A. The Description of the Data
As mentioned before in previous chapter, the researcher conducted the research using questionnaire in XI Science 4 class for getting
motivation score. This class consists of 31 students. Before the researcher did her research, she did the validation of instrument in XI Science 3 that
also consists of 31 students. In English learning score, the researcher got it from the English
teacher of XI Science 4 class, Mr. Ahas. The score is taken from the midterm test that was conducted on February 2014 and also from the daily
test that was combined it to be a midterm score in students’ report school.
Finally, the researcher analyzed the data to know the correlation between students’ motivation and their English learning achievement with
formula of Pearson Product Moment in SPSS 16 Program.
1. The Student
s’ Motivation Score
Students’ motivation score as X variable Independent variable in this study. To get the score, the researcher conducted her research through
questionnaire in XI Science 4 class as the sample. The table below describes the result of th
e students’ motivation questionnaire Table 4.1
The Motivation Score X N
Score 1
98 2
99 3
86 4
101 5
92 6
105 7
117 8
119 9
107 10
89 11
98 12
79 13
84
14 98
15 98
16 108
17 114
18 83
19 114
20 95
21 104
22 92
23 98
24 78
25 111
26 113
27 110
28 115
29 102
30 89
31 99
N=31 ∑
3095
2. The Students’ English Learning Score
As Y variable dependent variable, students’ English learning score took from their midterm school report. The researcher got the data
from students’ English teacher, Mr. Ahas. The description of data as below:
Table 4.2 The English Learning Score Y
N Score
1 82
2 83
3 78
4 74.5
5 78.5
6 85
7 80
8 85
9 82.5
10 73
11 82
12 84.5
13 80
14 80
15 72.5
16 80
17 76.5
18 74.5
19 87.5
20 78.5
21 77
22 81
23 77
24 85
25 79.5
26 82.5
27 76.5
28 79.5
29 85
30 79.5
31 84.5
N=31
∑
3.
The Correlation be tween Students’ Motivation and their
English Learning Achievement Score
To see how correlation between students’ motivation and their
achievement, it is calculated through Pearson Product Moment. Table 4.3
The Correlation Score of X and Y Variable
No X
Y XY
X
2
Y
2
1 98
82 8036
9604 6724
2 99
83 8217
9801 6889
3 86
78 6708
7396 6084
4 101
74.5 7524.5
10201 5550.25
5 92
78.5 7222
8464 6162.25
6 105
85 8925
11025 7225
7 117
80 9360
13689 6400
8 119
85 10115
14161 7225
9 107
82.5 8827.5
11449 6806.25
10 89
73 6497
7921 5329
11 98
82 8036
9604 6724
12 79
84.5 6675.5
6241 7140.25
13 84
80 6720
7056 6400
14 98
80 7840
9604 6400
15 98
72.5 7105
9604 5256.25
16 108
80 8640
11664 6400
17 114
76.5 8721
12996 5852.25
18 83
74.5 6183.5
6889 5550.25
19 114
87.5 9975
12996 7656.25
20 95
78.5 7457.5
9025 6162.25
21 104
77 8008
10816 5929
22 92
81 7452
8464 6561
23 98
77 7546
9604 5929
24 78
85 6630
6084 7225
25 111
79.5 8824.5
12321 6320.25
26 113
82.5 9322.5
12769 6806.25
27 110
76.5 8415
12100 5852.25
28 115
79.5 9142.5
13225 6320.25
29 102
85 8670
10404 7225
30 89
79.5 7075.5
7921 6320.25
31 99
84.5 8365.5
9801 7140.25
Total ∑ =
3095 ∑ =
2484.5 ∑
∑ 312899
∑ 199564.8
∑ ∑ ∑ √[ ∑
∑ ][ ∑
∑ ]
√[ ][
]
√[ ][ ]
√[ ][ ] √
= 0.143
By using SPPS, the researcher got the summary as follows: Table 4.4
The Summary Score of Motivation X and English Learning Y
Parameter X
Y
Minimum Score 78
72.50 Maximum Score
119 87.50
Std Deviation 11.399
3.847 Mean
99.84 80.145
Median 99.00
80.00 Mode
98 80.00
Sum 3095
2484.50
B. The Interpretation of the Data
To get the result of relationship between students’ motivation score
and their English learning score, the researcher calculated the data through SPPS 16. The result from the program as below:
1. The Frequency of the Data
Table 4.5 The Frequency of Motivation Score
Motivation Score
Frequency Percent
Valid Percent
Cumulative Percent
Valid 78
1 3.2
3.2 3.2
79 1
3.2 3.2
6.5 83
1 3.2
3.2 9.7
84 1
3.2 3.2
12.9 86
1 3.2
3.2 16.1
89 2
6.5 6.5
22.6 92
2 6.5
6.5 29.0
95 1
3.2 3.2
32.3
98 5
16.1 16.1
48.4 99
2 6.5
6.5 54.8
101 1
3.2 3.2
58.1 102
1 3.2
3.2 61.3
104 1
3.2 3.2
64.5 105
1 3.2
3.2 67.7
107 1
3.2 3.2
71.0 108
1 3.2
3.2 74.2
110 1
3.2 3.2
77.4 111
1 3.2
3.2 80.6
113 1
3.2 3.2
83.9 114
2 6.5
6.5 90.3
115 1
3.2 3.2
93.5 117
1 3.2
3.2 96.8
119 1
3.2 3.2
100.0 Total
31 100.0
100.0
Table 4.6 The Frequency of English Learning Score
English Learning Score
Frequency Percent Valid Percent Cumulative
Percent Valid
72.5 1
3.2 3.2
3.2 73
1 3.2
3.2 6.5
74.5 2
6.5 6.5
12.9 76.5
2 6.5
6.5 19.4
77 2
6.5 6.5
25.8 78
1 3.2
3.2 29.0
78.5 2
6.5 6.5
35.5 79.5
3 9.7
9.7 45.2
80 4
12.9 12.9
58.1
81 1
3.2 3.2
61.3 82
2 6.5
6.5 67.7
82.5 2
6.5 6.5
74.2 83
1 3.2
3.2 77.4
84.5 2
6.5 6.5
83.9 85
4 12.9
12.9 96.8
87.5 1
3.2 3.2
100.0 Total
31 100.0
100.0
2. The Histogram
Through histogram, the researcher can see how the distribution of data is distributed as below:
Figure 4.1 The Motivation Score
Figure 4.2 The English Learning Score
3. The Normality Test
In checking normality data both English score and Students’ motivation score, the researcher used Normal Q-Q Plot in SPSS 16 as
the description. The result is normal as pictures below:
Figure 4.3 The Normal Q-Q Plot of Motivation Score
Figure 4.3 The Normal Q-Q Plot of Motivation Score
4. The Correlation Result
Table 4.7 The Result of Correlation Calculation
Correlations
Motivation Score English Learning
Score Motivation
Score Pearson Correlation
1 .143
Sig. 2-tailed .444
N 31
31 English
Learning Score
Pearson Correlation .143
1 Sig. 2-tailed
.444 N
31 31
From this table, the researcher describes that r coefficient is and the sig. 2-tailed is
. Then the researcher looked at r table as mention in Chapter 3.
From the table, included in the first category 0.00
– 0.20 that describes there is very weak correlation between X variable and Y
variable, or it can be stated that there is no correlation between
students ’ motivation score and their English learning score. Based
on ,
; 0.355 0.143 and also from sig 2-tailed result, it can be described that 0.444 0.005 probability score.
C. The Hypothesis Test
As described in previous chapter, if means there is
correlation between X variable and Y variable, H
a
is accepted and H
o
is rejected. Then if
means there is no correlation between X variable and Y variable, H
o
is accepted and H
a
is rejected. From the result above, the researcher got that
; 0.143 0.355 that means H is
accepted and H
a
is rejected. In another word there is no correlation between
students’ motivation and their English learning score.
37
CHAPTER V CONCLUSION AND SUGGESTION
A. Conclusion