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 Item analysis techniques are
among the most valuable
tools classroom teachers use
in improving the quality of
their classroom tests.
Analyzing and using test item
data are focused in this
chapter.
As pointed out by Payne(1992), item analysis
is conducted for the following purposes:
 To select best available items for the final
form of the test;
 To identify structural or content defects in
the terms;
 To detect learning difficulties of the class as
a whole; and
 To identify the areas of weaknesses of
students in need of remediation.
 There are three main elements in
an item analysis. These elements
are as follows: examination of
the difficulty level of the items,
determination of the
discriminating power of each
item, and examination of the
effectiveness of distracters in a
multiple choice or matching
items.
Index of difficulty- the
difficulty level of an item
By index of difficulty is
meant the percentage of
students answering
correctly each item in the
test.
Index of discrimination-
refers to the percentage of
high-scoring individuals
responding correctly
versus the number of low-
scoring individuals
responding correctly to an
item.
 Preparing data for item analysis
of a classroom test involves
counting the number of
students in high and low-
scoring groups responding
correctly. This can be done by
asking students to raise their
hands on items which they
correctly answered.
Arrange test scores fron
highest to lowest. This is
based on the student’s
total score on the test.
 Get one-third of the papers from
the highest scores and the other
one-third from the lowest scores.
These two extreme sets of
examination papers are the
criterion groups. The fiest is the
upper group and the latter is the
lower group. The middele group is
not used in the analysis of the test
items.
Record separately the
number of times each
alternative was
chosen by the
students in both
groups.
Add the number of
correct answers to
each item made by
the combines upper
and lower groups.
 Compute the index of difficulty for each item,
following the formula:
Where:
IDF= index of difficulty
NRC= nimber of students responding correctly
to an item
TS= total number of students in the upper and
lower groups
Compute the index of discrimination, based on
the formula:
Where:IDN= index of discrimination
CU= number of correct responses of the upper
group
Cl= number of correct responses of the lower
group
NSG= number of students group
item group Answers
A B C
D
Total no.
of correct
answers
Difficulty
of index
H_L Discrimin
ation
index
1 H 20
L 20
3 14 2 1
10 7 3 0
21 52.5 7 0.35
2 H 20
L 20
0 0 18 2
0 32 9 8
27 67.5 9 0.45
3 H 20
L 20
4 8 4 4
10 2 4 4
10 25.0 6 0.30
4 H 20
L 20
3 3 4 10
2 4 10 4
14 35.0 6 0.30
5 H 20
L 20
15 2 2 1
1 10 4 5
16 40.0 14 0.70
Analyzing and Using Test Item Data

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Analyzing and Using Test Item Data

  • 1.
  • 2.  Item analysis techniques are among the most valuable tools classroom teachers use in improving the quality of their classroom tests. Analyzing and using test item data are focused in this chapter.
  • 3. As pointed out by Payne(1992), item analysis is conducted for the following purposes:  To select best available items for the final form of the test;  To identify structural or content defects in the terms;  To detect learning difficulties of the class as a whole; and  To identify the areas of weaknesses of students in need of remediation.
  • 4.  There are three main elements in an item analysis. These elements are as follows: examination of the difficulty level of the items, determination of the discriminating power of each item, and examination of the effectiveness of distracters in a multiple choice or matching items.
  • 5. Index of difficulty- the difficulty level of an item By index of difficulty is meant the percentage of students answering correctly each item in the test.
  • 6. Index of discrimination- refers to the percentage of high-scoring individuals responding correctly versus the number of low- scoring individuals responding correctly to an item.
  • 7.
  • 8.  Preparing data for item analysis of a classroom test involves counting the number of students in high and low- scoring groups responding correctly. This can be done by asking students to raise their hands on items which they correctly answered.
  • 9.
  • 10. Arrange test scores fron highest to lowest. This is based on the student’s total score on the test.
  • 11.  Get one-third of the papers from the highest scores and the other one-third from the lowest scores. These two extreme sets of examination papers are the criterion groups. The fiest is the upper group and the latter is the lower group. The middele group is not used in the analysis of the test items.
  • 12. Record separately the number of times each alternative was chosen by the students in both groups.
  • 13. Add the number of correct answers to each item made by the combines upper and lower groups.
  • 14.  Compute the index of difficulty for each item, following the formula: Where: IDF= index of difficulty NRC= nimber of students responding correctly to an item TS= total number of students in the upper and lower groups
  • 15. Compute the index of discrimination, based on the formula: Where:IDN= index of discrimination CU= number of correct responses of the upper group Cl= number of correct responses of the lower group NSG= number of students group
  • 16. item group Answers A B C D Total no. of correct answers Difficulty of index H_L Discrimin ation index 1 H 20 L 20 3 14 2 1 10 7 3 0 21 52.5 7 0.35 2 H 20 L 20 0 0 18 2 0 32 9 8 27 67.5 9 0.45 3 H 20 L 20 4 8 4 4 10 2 4 4 10 25.0 6 0.30 4 H 20 L 20 3 3 4 10 2 4 10 4 14 35.0 6 0.30 5 H 20 L 20 15 2 2 1 1 10 4 5 16 40.0 14 0.70