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LANGUAGE TESTING II 
ANALYSIS OF MULTIPLE CHOICE ITEM TEST 
Lecturer : Nuri Atiningsih, S.Pd, M.Pd 
Written by: 
Lia Suparni (11321157/6E) 
Siti Purwaningsih (11321159/6E) 
ENGLISH TEACHING DEPARTMENT 
FACULTY OF LETTERS AND ARTS EDUCATION 
IKIP PGRI MADIUN 
2014
ANALYSIS OF ITEM TEST 
We make a multiple choice item test to evaluate the students of seventh grade of 
Junior High School. We also analyze the item test to know the validity, reliability, index 
difficulty, distinguishing characteristic, and the pola of respondents’ choice of the item test. 
The following is the data and blueprint of the item test. 
Analysis of Multiple Choice Item Test__2 
Level of school : Junior High Schol 
Grade : VII 
Lesson : English 
Period : Odd midle test 
Kind of item test : multiple choice 
Total item test : 40 number items 
Respondent : 10 people 
Blueprint of item test : 
Material Item number Total 
Unit 1 
Greeting 6, 20 2 
22 
Leave taking 7, 21 2 
Expression of introducing oneself 5, 32 2 
Expression of introducing others 2, 31 2 
Asking for people’s identity 19, 37, 40 3 
Command/ request 8, 22, 33 3 
Prohibition 13, 30, 38 3 
Greeting card 12, 36 2 
Simple present tense 1, 11, 26 3 
Unit 2 
Expression of asking for information 9, 27 2 
18 
Expression of giving information 10, 23 2 
Direction 4, 15, 16 3 
Expression of thanking 34, 28, 39 3 
Expression of apologizing 14, 35, 29 3 
Expression of showing politeness 3, 24 2 
Positive, negative, interrogative sentence 17, 18, 25 3 
Total 40 
I. ANALYSIS OF VALIDITY 
Validity is used to analyze whether the item test is valid or not. A test is valid if it is 
measures what purpose to measure. The valid item test will still be used in a test. 
Meanwhile, the invalid item test will be ommited and replaced by the other item test. The
item test will valid if the rxy > rtable. The rtable is 0,632 and n (total respondent) is 10. The 
formula of rxy is: 
Analysis of Multiple Choice Item Test__3 
ݎ௑௒ = 
ܰΣ ܻܺ − (Σܺ)(Σܻ) 
ඥ(ܰΣ ܺଶ − (Σ ܺ)ଶ)(ܰΣܻଶ − (Σܻ)ଶ) 
rxy = Corelation Coefisien between X and Y variable 
Σxy = Total of multiplication x and y 
Σx = Total of x scores 
Σy = Total of y scores 
Σx2 = Total of x quadrate scores 
Σy2 = Total of y quadrate scores 
x = Item score to i 
y = Total score 
Result of validity analysis: 
Criterion Item Number Total Percentage (%) 
valid 26, 27, 31 3 7,5 
Invalid 
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 
14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 
24, 25, 28, 29, 30, 32, 33, 34, 35, 36, 
37, 38, 39, 40 
37 92,5 
The data above can be seen in the appendix 2. Based on the data above, there are 
some valid and invalid item numbers. The valid item number is 3 and the invalid is 37 with 
rtable=0,632. The invalid item numbers may be because the questions is too difficult for the 
students or the students have low ability so they cann’t do answer the questions correctly. 
The invalid item numbers should be omitted and replaced with others item test to evaluate 
the student. 
II. ANALYSIS OF RELIABILITY 
Test reliability refers to the degree to which a test is consistent and stable in 
measuring what it is intended to measure. Most simply put, a test is reliable if it is 
consistent within itself and across time. The reliability can be counted by Kuder 
Richardson formula 21 : 
r = ࢑ 
࢑ି૚ 
ቂ૚ − ࡹ(࢑ିࡹ) 
࢑ࡿ૛ ቃ
Analysis of Multiple Choice Item Test__4 
r : reliability 
k : The number of items in the test 
M : The mean 
S2 : The total variance 
The reliability level is between 0 and 1.00. The criteria of reliability are: 
r < 0,4  very low 
0,4 < r < 0,6  low 
0,6 < r < 0,8  high 
r > 0,8  very high 
If the reliability level is 1.00, it shows that the test is perfect according to reliability. 
The Result of reliability analysis: 
Criterion Item Number Total Percentage (%) 
Very high 
1, 2, 4, 7, 8, 9, 11, 12, 13, 14, 16, 17, 
19, 20, 22, 24, 28, 29, 33, 39, 40 
21 52,5 
High 
5, 6, 15, 18, 21, 23, 26, 27, 31, 32, 
34, 35, 36, 37, 38 
15 37,5 
Low 3, 10, 25, 30 4 10 
Very low - 0 0 
The reliability analysis can be seen on appendix 3. From the data above, the 
reliability level of the item test is very high and high. There are 21 item numbers are very 
high reliability, and the rest item numbers are high reliability. The low reliability just 4. 
Because the reliability categorise as high, the item test can be used to measure the 
students’ ability consistenly. 
III. ANALYSIS OF INDEX DIFFICULTY 
Index difficulty is used to measure the degree of item test, whether it is easy, 
average, or hard. A good item test is a test that is not too easy or not too hard. A very easy 
item test will make the students don’t have effort to answer it. Meanwhile, the very hard 
item test will make the students desperate to answer it. The index difficulty is between 0,0 
- 1,0. Item test with 0,0 degree shows that the item test is very hard. Meanwhile, the item 
test with 1,0 degree shows that the item test is vey easy. The formula of index difficulty is:
Analysis of Multiple Choice Item Test__5 
ܲ = 
ܤ 
ܬܵ 
P = index difficulty 
B = total students who have correct answer 
JS = total respondent 
The criterion of index difficulty is: 
P ≤ 0,3  hard 
0,3 < P ≤ 0,7  average 
P > 0.7  easy 
The result of index difficulty analysis: 
Criterion Item Number Total Percentage (%) 
Hard 3, 10, 25, 30 4 10 
Average 5, 6, 15, 18, 21, 23, 26, 27, 29, 31, 32, 34, 38 13 32, 5 
easy 
1, 2, 4, 7, 8, 9, 11, 12, 13, 14, 16, 17, 19, 20, 
22, 24, 28, 33, 35, 36, 37, 39, 40 
23 57, 5 
The analysis of index difficulty can be seen on appendix 4. From the data above, the 
item test have variation index difficulty. There are 4 hard item test, 13 average item test, 
and 23 easy item test. More than half of the item test is easy, so the students will easy to 
answer it. 
IV. ANALYSIS OF DISTINGUISHING CHARACTERISTIC 
Distinguishing characteristic is used to differentiate between the students who have 
low (lower group) and high (upper group) ability. The index of discrimination is between 
0,0 – 1,0, almost same with index difficulty. The difference is, the index discrimination 
have negative sign. It shows the testee quality, the upper group is lower students and the 
lower group is higher students. The formula of distinguishing characteristic is: 
ܦ = 
ܤܣ 
ܬܣ 
− 
ܤܤ 
ܬܤ 
= ܲܣ − ܲܤ 
D : distinguishing characteristic 
PA : index difficulty of upper group 
PB : index difficulty of lower group
Analysis of Multiple Choice Item Test__6 
The result of distinguishing characteristic analysis: 
Criterion Item Number Total Percentage (%) 
Poor 1, 2, 4, 9, 19, 22, 30, 34, 35, 40 10 25 
Satisfactory 3, 10, 18, 25, 28, 37 6 15 
Good 21, 31, 32, 39 4 10 
Excellent 26, 27, 29 3 7,5 
Not good 
5, 6, 7, 8, 11, 12, 13, 14, 15, 16, 17, 
20, 23, 24, 33, 36, 38 
17 42,5 
The analysis of distinguishing characteristic can be seen on apendix 5. From the data 
above, the distinguishing characteristic of the item test is variatif. Some of the items test is 
poor, satisfactory, good, excellent, and not good. The item test that is not good have to be 
omitted because it is not appropriate to evaluate the stdents. 
V. ANALYSIS OF POLA OF RESPONDENTS’ CHOICE 
The pola of respondents’ choice is the distribution of testee to decides the choice in 
multiple choice item test. It can be determined by counting how much testee who choose 
option a, b, c, d, or doesn’t choose all of them. The pola of respondents’ choice can 
determine the distractor, whether it is good or not. A distractor is good if it is choosen by 
at least 5% of the respondents. The pola of respondents’ choice also can be used to analyse 
the quality of item test. An item test is good if the omit is no more than 10% of the 
respondent. 
The result of pola of respondents’ choice analysis is: 
Criterion Item Number Total Percentage (%) 
good distractor 
3, 5, 8, 9, 15, 16, 21, 25, 26, 30, 32, 34, 
38 
13 32,5 
Bad distractor 
1, 2, 4, 6, 7, 10, 11, 12, 13, 14, 17, 18, 19, 
20, 22, 23, 24, 27, 28, 29, 31, 33, 35, 36, 
37, 39, 40 
27 67,5 
Criterion Item Number Total Percentage (%) 
good item test 
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 
39 97,5
27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 
Analysis of Multiple Choice Item Test__7 
38, 39, 40 
Bad item test 15 1 2,5 
The analysis of pola of respondents’ choice can be seen on apendix 6. From the data 
above, more than half of the item test have bad distractors (67%). So, the bad distractor 
should not use in an item test and should be replaced. Meanwhile, almost all of the item 
test categorized as a good item test, because none of the testee doesn’t choose the option. 
Therefore, the item test can be used to measure the students’ ability again. 
CONCLUSION 
Based on the results of the analysis of multiple choice item test above which analyze 
the validity, reliability, index of difficulty, distinguishing characteristic, and pola of 
respondents’ choice, we can conclude: 
a. Validity of the odd middle test categorised as the valid item number is 3 (7.5%) and the 
invalid is 37 (92.5%). The invalid can be caused the item test is too difficult or the 
respondents’ have low ability. The invalid item test should be replaced by new item test 
because it cann’t be used to measure students’ ability. 
b. Reliability of the middle odd test are test is very high and high. There are 21 item 
numbers are very high reliability, and the rest item numbes are high reliability. 
c. Index of difficulty of the item test have variation index difficulty. There are 4 hard item 
test, 13 average item test, and 23 easy item test. More than half of the item test is easy, 
because the human resources is quite high, so the students will easy to answer it. 
d. Distinguishing characteristic of the item test is variatif. Some of the items test is poor, 
satisfactory, good, excellent, and not good. The item test that is not good has to be 
omitted because it is not appropriate to evaluate the students. 
e. Pola of respondents’ choice of the item test doesn’t spread. Some of the distractor is 
bad, but the item test is good because none of the testee doesn’t choose the option. 
The analysis of validity, reliability, index of difficulty, distinguishing characteristic, 
and pola of respondents’ choice of item test can be used to analyse whether the item test can 
be used to evaluate students’ ability or not.

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Analysis of item test

  • 1. LANGUAGE TESTING II ANALYSIS OF MULTIPLE CHOICE ITEM TEST Lecturer : Nuri Atiningsih, S.Pd, M.Pd Written by: Lia Suparni (11321157/6E) Siti Purwaningsih (11321159/6E) ENGLISH TEACHING DEPARTMENT FACULTY OF LETTERS AND ARTS EDUCATION IKIP PGRI MADIUN 2014
  • 2. ANALYSIS OF ITEM TEST We make a multiple choice item test to evaluate the students of seventh grade of Junior High School. We also analyze the item test to know the validity, reliability, index difficulty, distinguishing characteristic, and the pola of respondents’ choice of the item test. The following is the data and blueprint of the item test. Analysis of Multiple Choice Item Test__2 Level of school : Junior High Schol Grade : VII Lesson : English Period : Odd midle test Kind of item test : multiple choice Total item test : 40 number items Respondent : 10 people Blueprint of item test : Material Item number Total Unit 1 Greeting 6, 20 2 22 Leave taking 7, 21 2 Expression of introducing oneself 5, 32 2 Expression of introducing others 2, 31 2 Asking for people’s identity 19, 37, 40 3 Command/ request 8, 22, 33 3 Prohibition 13, 30, 38 3 Greeting card 12, 36 2 Simple present tense 1, 11, 26 3 Unit 2 Expression of asking for information 9, 27 2 18 Expression of giving information 10, 23 2 Direction 4, 15, 16 3 Expression of thanking 34, 28, 39 3 Expression of apologizing 14, 35, 29 3 Expression of showing politeness 3, 24 2 Positive, negative, interrogative sentence 17, 18, 25 3 Total 40 I. ANALYSIS OF VALIDITY Validity is used to analyze whether the item test is valid or not. A test is valid if it is measures what purpose to measure. The valid item test will still be used in a test. Meanwhile, the invalid item test will be ommited and replaced by the other item test. The
  • 3. item test will valid if the rxy > rtable. The rtable is 0,632 and n (total respondent) is 10. The formula of rxy is: Analysis of Multiple Choice Item Test__3 ݎ௑௒ = ܰΣ ܻܺ − (Σܺ)(Σܻ) ඥ(ܰΣ ܺଶ − (Σ ܺ)ଶ)(ܰΣܻଶ − (Σܻ)ଶ) rxy = Corelation Coefisien between X and Y variable Σxy = Total of multiplication x and y Σx = Total of x scores Σy = Total of y scores Σx2 = Total of x quadrate scores Σy2 = Total of y quadrate scores x = Item score to i y = Total score Result of validity analysis: Criterion Item Number Total Percentage (%) valid 26, 27, 31 3 7,5 Invalid 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 32, 33, 34, 35, 36, 37, 38, 39, 40 37 92,5 The data above can be seen in the appendix 2. Based on the data above, there are some valid and invalid item numbers. The valid item number is 3 and the invalid is 37 with rtable=0,632. The invalid item numbers may be because the questions is too difficult for the students or the students have low ability so they cann’t do answer the questions correctly. The invalid item numbers should be omitted and replaced with others item test to evaluate the student. II. ANALYSIS OF RELIABILITY Test reliability refers to the degree to which a test is consistent and stable in measuring what it is intended to measure. Most simply put, a test is reliable if it is consistent within itself and across time. The reliability can be counted by Kuder Richardson formula 21 : r = ࢑ ࢑ି૚ ቂ૚ − ࡹ(࢑ିࡹ) ࢑ࡿ૛ ቃ
  • 4. Analysis of Multiple Choice Item Test__4 r : reliability k : The number of items in the test M : The mean S2 : The total variance The reliability level is between 0 and 1.00. The criteria of reliability are: r < 0,4  very low 0,4 < r < 0,6  low 0,6 < r < 0,8  high r > 0,8  very high If the reliability level is 1.00, it shows that the test is perfect according to reliability. The Result of reliability analysis: Criterion Item Number Total Percentage (%) Very high 1, 2, 4, 7, 8, 9, 11, 12, 13, 14, 16, 17, 19, 20, 22, 24, 28, 29, 33, 39, 40 21 52,5 High 5, 6, 15, 18, 21, 23, 26, 27, 31, 32, 34, 35, 36, 37, 38 15 37,5 Low 3, 10, 25, 30 4 10 Very low - 0 0 The reliability analysis can be seen on appendix 3. From the data above, the reliability level of the item test is very high and high. There are 21 item numbers are very high reliability, and the rest item numbers are high reliability. The low reliability just 4. Because the reliability categorise as high, the item test can be used to measure the students’ ability consistenly. III. ANALYSIS OF INDEX DIFFICULTY Index difficulty is used to measure the degree of item test, whether it is easy, average, or hard. A good item test is a test that is not too easy or not too hard. A very easy item test will make the students don’t have effort to answer it. Meanwhile, the very hard item test will make the students desperate to answer it. The index difficulty is between 0,0 - 1,0. Item test with 0,0 degree shows that the item test is very hard. Meanwhile, the item test with 1,0 degree shows that the item test is vey easy. The formula of index difficulty is:
  • 5. Analysis of Multiple Choice Item Test__5 ܲ = ܤ ܬܵ P = index difficulty B = total students who have correct answer JS = total respondent The criterion of index difficulty is: P ≤ 0,3  hard 0,3 < P ≤ 0,7  average P > 0.7  easy The result of index difficulty analysis: Criterion Item Number Total Percentage (%) Hard 3, 10, 25, 30 4 10 Average 5, 6, 15, 18, 21, 23, 26, 27, 29, 31, 32, 34, 38 13 32, 5 easy 1, 2, 4, 7, 8, 9, 11, 12, 13, 14, 16, 17, 19, 20, 22, 24, 28, 33, 35, 36, 37, 39, 40 23 57, 5 The analysis of index difficulty can be seen on appendix 4. From the data above, the item test have variation index difficulty. There are 4 hard item test, 13 average item test, and 23 easy item test. More than half of the item test is easy, so the students will easy to answer it. IV. ANALYSIS OF DISTINGUISHING CHARACTERISTIC Distinguishing characteristic is used to differentiate between the students who have low (lower group) and high (upper group) ability. The index of discrimination is between 0,0 – 1,0, almost same with index difficulty. The difference is, the index discrimination have negative sign. It shows the testee quality, the upper group is lower students and the lower group is higher students. The formula of distinguishing characteristic is: ܦ = ܤܣ ܬܣ − ܤܤ ܬܤ = ܲܣ − ܲܤ D : distinguishing characteristic PA : index difficulty of upper group PB : index difficulty of lower group
  • 6. Analysis of Multiple Choice Item Test__6 The result of distinguishing characteristic analysis: Criterion Item Number Total Percentage (%) Poor 1, 2, 4, 9, 19, 22, 30, 34, 35, 40 10 25 Satisfactory 3, 10, 18, 25, 28, 37 6 15 Good 21, 31, 32, 39 4 10 Excellent 26, 27, 29 3 7,5 Not good 5, 6, 7, 8, 11, 12, 13, 14, 15, 16, 17, 20, 23, 24, 33, 36, 38 17 42,5 The analysis of distinguishing characteristic can be seen on apendix 5. From the data above, the distinguishing characteristic of the item test is variatif. Some of the items test is poor, satisfactory, good, excellent, and not good. The item test that is not good have to be omitted because it is not appropriate to evaluate the stdents. V. ANALYSIS OF POLA OF RESPONDENTS’ CHOICE The pola of respondents’ choice is the distribution of testee to decides the choice in multiple choice item test. It can be determined by counting how much testee who choose option a, b, c, d, or doesn’t choose all of them. The pola of respondents’ choice can determine the distractor, whether it is good or not. A distractor is good if it is choosen by at least 5% of the respondents. The pola of respondents’ choice also can be used to analyse the quality of item test. An item test is good if the omit is no more than 10% of the respondent. The result of pola of respondents’ choice analysis is: Criterion Item Number Total Percentage (%) good distractor 3, 5, 8, 9, 15, 16, 21, 25, 26, 30, 32, 34, 38 13 32,5 Bad distractor 1, 2, 4, 6, 7, 10, 11, 12, 13, 14, 17, 18, 19, 20, 22, 23, 24, 27, 28, 29, 31, 33, 35, 36, 37, 39, 40 27 67,5 Criterion Item Number Total Percentage (%) good item test 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 39 97,5
  • 7. 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, Analysis of Multiple Choice Item Test__7 38, 39, 40 Bad item test 15 1 2,5 The analysis of pola of respondents’ choice can be seen on apendix 6. From the data above, more than half of the item test have bad distractors (67%). So, the bad distractor should not use in an item test and should be replaced. Meanwhile, almost all of the item test categorized as a good item test, because none of the testee doesn’t choose the option. Therefore, the item test can be used to measure the students’ ability again. CONCLUSION Based on the results of the analysis of multiple choice item test above which analyze the validity, reliability, index of difficulty, distinguishing characteristic, and pola of respondents’ choice, we can conclude: a. Validity of the odd middle test categorised as the valid item number is 3 (7.5%) and the invalid is 37 (92.5%). The invalid can be caused the item test is too difficult or the respondents’ have low ability. The invalid item test should be replaced by new item test because it cann’t be used to measure students’ ability. b. Reliability of the middle odd test are test is very high and high. There are 21 item numbers are very high reliability, and the rest item numbes are high reliability. c. Index of difficulty of the item test have variation index difficulty. There are 4 hard item test, 13 average item test, and 23 easy item test. More than half of the item test is easy, because the human resources is quite high, so the students will easy to answer it. d. Distinguishing characteristic of the item test is variatif. Some of the items test is poor, satisfactory, good, excellent, and not good. The item test that is not good has to be omitted because it is not appropriate to evaluate the students. e. Pola of respondents’ choice of the item test doesn’t spread. Some of the distractor is bad, but the item test is good because none of the testee doesn’t choose the option. The analysis of validity, reliability, index of difficulty, distinguishing characteristic, and pola of respondents’ choice of item test can be used to analyse whether the item test can be used to evaluate students’ ability or not.