A. Data Presentation - The effects of using multiple choice test to the students’ scores in learning vocabulary at the Eighth Grade Students of SMP Muhammadiyah Palangka Raya - Digital Library IAIN Palangka Raya

CHAPTER IV
RESULT OF THE STUDY

In this chapter, the writer presented the data which had been collected from
the research in the field of study. The data are the description data of pre test score
of experimental and control class, the description data of pre-test score of
experimental and control class, testing of normality and homogeneity (normality
test and testing homogeneity), result of data analysis, and discussion.
A. Data Presentation
This section describes the obtained data of the Effects of Using
Multiple-Choice Test to the Students Scores in Learning vocabulary.
1. The Description Data of Pre-Test Score
The students’ pre test scores is distributed in the following table in
order to analyze the students’ knowledge beforee conducting the
treatment.
Based on KKM (Minimum Standard Scores of English subject of
SMPMuhammadiyah Palangka Raya, the minimum mastery criterion
(KKM) in English course is 70.
The qualifications of range score
Range Score
90-100

80-89
70-79
60-69
0-59

Classification
Excellent
Very Good
Good
Enough
Poor

49

50

Table 4.1 Pre test score of experimental and control group
Experiment Group
Code


Score

Correct
Answer

E-01
83
E-02
70
E-03
80
E-04
83
E-05
73
E-07
73
E-08
46
E-09

80
E-10
53
E-11
70
E-12
80
E-13
83
E-14
86
E-15
53
E-16
63
E-17
73
E-18
90
E-19

73
E-20
83
E-21
63
E-22
83
E-23
53
E-24
93
Total
Average
Lowest Score
Higher Score

25
21
24
25

22
22
14
24
16
21
24
25
26
16
19
24
27
22
25
19
25
16
28


Classification
Very Good
Good
Very Good
Very Good
Good
Good
Poor
Very Good
Poor
Good
Very Good
Very Good
Very Good
Poor
Enough
Good
Excellent
Good
Very Good

Enough
Very Good
Poor
Excellent
1773
73,88
46
93

Control Group
Code

Score

Correct
Answer

Classification

C-01

C-02
C-03
C-04
C-05
C-07
C-08
C-09
C-10
C-11
C-12
C-13
C-14
C-15
C-16
C-17
C-18
C-19
C-20

33

43
43
63
63
73
56
50
56
50
53
60
63
56
60
60
60
56
63

10

13
13
19
19
22
17
15
17
15
16
18
19
17
18
18
18
17
19

Poor

Poor
Poor
Enough
Enough
Good
Poor
Poor
Poor
Poor
Poor
Enough
Enough
Poor
Enough
Enough
Enough
Poor
Enough

Total
Average
Lowest Score
Higher Score

1137
56,85
33
73

The table above shows us the comparison of pre-test score
achieved by experimental and control group students, both class’
achievement are at most the same level. It can be seen that from the
students’ score. The highest score is 93 and the lowest score is 46,
experimental.

51

The highest score (H)
The lowest score (L)
The range of score (R)

Interval of temporary (I) =

: 93
: 46
=H−L+1
= 93 − 46 + 1
= 47 + 1
= 48
R
K

=

48
5

= 9.6

The highest score is 73 and the lowest score is 33 control group. It
meant that the experimental and cintrol group have most the same level in
level in learning multiple choice items by descriptive text before giving
the treatment.
The highest score (H)
The lowest score (L)
The range of score (R)

Interval of temporary (I) =

: 73
: 33
=H−L+1
= 73 − 33 + 1
= 40 + 1
= 41
R
K

=

41
5

= 8.2

The distribution of students’ pretest score of experiment group can
also be seen in the following figure 4.1.

52

Then, the distribution of students’ pre-test score of control group can
also be seen in the following figure 4.2.

Figure 4.2. the students’ predicate in pre-test score of control group
2. The description Data of Post-Test Score
The students’ scores are distributed in the following table in order
to analyze the students’ knowledge after conducting the treatment.
Based on KKM (Minimum Standard Scores of English subject of
SMP Muhammadiyah Palangka Raya, the minimum mastery criterion
(KKM) in English course is 70.
The qualifications of range score
Range Score
90-100
80-89
70-79
60-69
0-59

Classification
Excellent
Very Good
Good
Enough
Poor

53

Table 4.2 Post-test of experimental and control group
Experiment Group
Code

Score

E-01
86
E-02
96
E-03
96
E-04
86
E-05
93
E-06
100
E-07
80
E-08
90
E-09
96
E-10
83
E-11
90
E-12
93
E-13
90
E-14
100
E-15
83
E-16
90
E-17
80
E-18
100
E-19
80
E-20
96
E-21
96
E-22
93
E-23
53
E-24
93
Total
Average
Lowest Score
Higher Score

Correct
Answer
26
29
29
26
28
30
24
27
29
25
27
28
27
30
25
27
24
30
24
29
24
28
16
28

Classification

Very Good
Excellent
Excellent
Very Good
Excellent
Excellent
Very Good
Excellent
Excellent
Very Good
Excellent
Excellent
Excellent
Excellent
Very Good
Excellent
Very Good
Excellent
Very Good
Excellent
Excellent
Excellent
Less
Excellent
2143
89,29
53
100

Control Group
Code

Score

Correct
Answer

Classification

C-01
C-02
C-03
C-04
C-05
C-06
C-07
C-08
C-09
C-10
C-11
C-12
C-13
C-14
C-15
C-16
C-17
C-18
C-19
C-20

36
70
33
56
66
76
80
76
50
83
53
50
76
66
60
50
43
76
76
76

10
21
10
17
20
23
24
23
15
20
23
24
25
20
23
20
21
23
23
23

Poor
Good
Poor
Poor
Enough
Good
Very Good
Good
Poor
Very Good
Poor
Poor
Good
Enough
Enough
Poor
Poor
Good
Good
Good

Total
Average
Lowest Score
Higher Score

1252
62,6
33
83

The table above shows us the comparison of post-test score
achieved by experimental and control group students, both classes’
achievement are at most the same level. It can be seen that from the

54

students’ score. The highest score is 100 and the lowest score is 53,
experimental.
The highest score (H)
The lowest score (L)
The range of score (R)

Interval of temporary (I) =

: 100
: 53
=H−L+1
= 100 − 53 + 1
= 47 + 1
= 48
R
K

=

48
5

= 9.6

The highest score is 83 and the lowest score is 33 control group. It
meant that the experimental and control group have different level in
learning multiple choice test by descriptive text after getting the treatment.
The highest score (H)
The lowest score (L)
The range of score (R)

Interval of temporary (I) =

: 83
: 33
=H−L+1
= 83 − 33 + 1
= 50 + 1
= 51
R
K

=

51
5

= 10.2

55

The distribution of students’ post-test score of experiment group can
also be seen in the following figure 4.2
Histogram
For group = experimental

The distribution of students’ post-test score of control group can
also be seen in the following figure 4.3.
Histogram
For group = control

56

B. Testing of Normality and Homogeneity
1. Normality Test
The testing of normality test used SPSS 20.0 program. It is divided into
two parts, testing of normality of pre test and post-test both experimental and
control group.
Table 4.2 Testing normality of post-test experimental and control group
Tests of Normality
Kolmogorov-Smirnova
Control Class and
Experiment Class
Statistic
Df
,197
20
Control
Class
Score
,213
22
Experiment
Class
a. Lilliefors Significance Correction

Shapiro-Wilk
Sig.
,041

Statistic
,883

,011

,771

Df

Sig.
20

,020

22

,000

The table shows the result of test of normality calculation using SPSS
20.0 program.
To know the normality of data, the formula can be seen as follows:
If the number of sample. > 50 = Kolmogorov-Smirnov
If the number of sample. < 50 = Shapiro –Wilk
Based on the number of data the writer was 42 < 50, so to analyzed
normality data the writer used Shapiro-Wilk. The next step, the writer
analyzed normality of data by using formula as follows:
If significance > 0,05 = data is normal distribution
If significance < 0,05 = data is noot normal significance
Based on data above, significant data of experiment and control
group used Shapiro-Wilk is 0,020 > 0,05 and 0,000. It can be concluded

57

that the data is normal distribution for control class and experiment class is
not normal distribution.
2. Testing Homogeneity
Testing homogeneity used SPSS 10.0 program. The result of testing
homogeneity of post-test of experimental and control group can be seen on
the table 4.4.
The table 4.4. Testing Homogeneity and Independent samples test of
Post-Test of Experiment and Control Group
Independent Samples Test
Levene's Test for
Equality of
Variances
F

Score of
Students
Post-test

Equal
variances
assumed
Equal
variances
not
assumed

8,898

t-test for Equality of Means

Sig.
,005

T

Sig. (2tailed)

df

Mean
Difference

Std.
Error
Difference

95% Confidence
Interval of the
Difference
Lower

Upper

-6,473

40

,000

-26,827

4,145

-35,204

-18,450

-6,330

30,863

,000

-26,827

4,238

-35,473

-18,182

The table shows the result of Homogenity test calculation using SPSS
20.0 program. To know the Homogenity of data, the formula can be seen as
follows:
If Sig. > 0,01 = Equal variances assumed or Homogenity distribution.
If Sig. < 0,01 = Equal variances not assumed or not Homogenity distribution.
Based on data above, significant data is 0,005. The result is 0,005

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