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CHAPTER IV RESEARCH FINDINGS AND ANALYSIS
Chapter IV discusses the results of the analysis. It suggests a complete elaboration about the findings, the interpretation of the findings so as to answer the problem
of the study and some summaries of the findings in the form of quantitative figures.
4.1 Try- out Findings
This discussion covered the computation of the validity, reliability, difficulty level and discriminating power of the try-out test.
4.1.1 Validity of Instrument
As mentioned in chapter III, validity refers to the precise measurements of the test. In this study, item validity was used to know the index validity of the test. To
identify the validity of instrument, the writer used the Pearson Product Moment formula to analyze each item.
It was obtained that from 30 test items; there were 25 test items which were valid and 5 test items which were not valid. They were on number 7, 10, 16,
19, and 28. They were said to be not valid with the reason that the computation result of their r
xy
value the correlation of score each item was lower than their r
table
value. The following was the example of item validity computation for item number 1, and for the other items would use the same formula.
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The formula to calculate validity of instrument is as follows:
By using that formula, we obtain that:
r xy = 0.1596 on a = 5 with N= 40, it is obtained = 0,312
From the computation above, the result of computing validity of the item number 1 was 0, 1596. After that the writer consulted to the table of r product
moment with the number of subjects N = 40 and significance level 5 it was 0,312. Since the result of the computation was higher than r in the table, the index
of validity of the item number 1 was considered to be valid. The list of the validity of each item could be seen in Appendix 5.
4.1.2 Reliability of Instrument
A good test must be valid and reliable. Besides the index of validity, the writer calculated the reliability of the test using Kuder- Richardson formula 20 K-R 20.
The complete computation of the reliability of the test was based on the data in Appendix 6.
The following is the computation of the reliability of instrument. The first step is finding the variants total. Here, formula of finding variants totals:
{ }
{ }
2 2
2 2
xy
r ΣΥ
− ΝΣΥ
ΣΧ −
ΝΣΧ ΣΥ
ΣΧ −
ΝΣΧΥ =
{ }
{ }
2 2
2 xy
660 12336
40 15
15 40
660 15
289 40
r −
− −
= x
x x
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N N
Y Y
Vt
2
⎟ ⎠
⎞ ⎜
⎝ ⎛ ∑
− ∑
=
1500 .
36 40
40 660
12336 Vt
2
= ⎟
⎠ ⎞
⎜ ⎝
⎛ −
=
⎟ ⎠
⎞ ⎜
⎝ ⎛
− −
⎟ ⎠
⎞ ⎜
⎝ ⎛
− =
kVt M
k M
k k
1 1
r
11
⎟ ⎠
⎞ ⎜
⎝ ⎛
× −
− ⎟
⎠ ⎞
⎜ ⎝
⎛ −
= 1500
. 36
40 50
. 16
40 5
. 16
1 1
40 40
r
11
= 0.751
For a = 5 and number of subject n = 40, r
table
= 301 Instrument is reliable if r 11 r table.
From the computation above, it was found out that r
11
the total of reliability test was 0.751, whereas the number of subjects were 40 and the critical
value for r- table with significance level 5 was 301. Thus the value resulted from the computation was higher than its critical value, it could be concluded that
the instrument used in this research was reliable.
4.1.3 Difficulty Level of Instrument
Kategori