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The relationship between ability and true scores in classical test theory (ctt) and item response theory (irt). It covers the general procedure for estimating true ability, the nature of ability scales in ctt and irt, and the transformation of ability scales. The document also explains the ratio-scale property and log-odds (logits) in irt.
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Ch. 5: Ability Scale
I. Introduction
A. In CTT, X (number-right-score) is an unbiased estimate of a personās true score
T, ļ E (X) T.
B. In IRT, a personās ability, , is monotonically related to the personās true score.
Monotonic relationship is a non-linear and strictly increasing relationship.
C. General procedure in estimating the true ability of a person.
(MLE, BME, EAP, WLE).
parameters and then, use one of MLE, BME, EAP, and WLE.
can be reported.
II. Nature of ability scale
A. In CTT,
T-score, ACT, SAT, GRE.
B. In IRT
III. Transformation of
A. Linear transformation of , b, and a.
Let * = , b* = b , and a* = a / , then 3-pl is,
P( *) = c + / [( )( )] 1
Da b e
c
= c + / [ ] 1
Da b e
c
= c + / .[ ] 1
Da b e
c
= c + ( ) 1
Da b e
c = P( ).
P( ) is invariant under the linear transformation of , b, and a. ļ
Indeterminancy. (Woodcock-Johnsonās scale p. 80).
B. Non-linear transformation of and b: partial ratio-scale interpretation only for the Rasch model.
D e and b* =
Db e where D = 1, a = 1.
( )
D b
D b
e
e = D Db
D Db
e
e
1
= D Db
D Db
e e
e e
1 /
= Db Db D Db
D Db
e e e e
e e
/ /
= Db D
D
e e
b
b
(The first Rasch model)
If * = b*, then P( *) = .5.
Q( *) = 1 ā P( *)
b
b
b
b
b b
b
Given Op1 =
b
, and Op2 =
b
2
1
2
1
p
p
O
If 1 * 2 2 *, then examinee 1 has twice the odds of examinee 2 in
answering the item correctly (ratio-scale property).
Oi1 =
b 1
, Oi2 =
b 2
, then
1
2
2
1
b
b
O
i
i .
If b 2 * = 2b 1 *, then item 1 has twice the odds of item 2 for an examinee to get the item correct (ratio-scale property).
( 1 2 ) 2
1
2
1
2
1
D
D
p
p e e
e
O
ln ( 1 2 ) 2
1 D O
p
p .
In 1-pl model, D is omitted (D=1.0).
ln 1 2 2
1
p
p
O
In the same way.
ln 2 1 2
1 b b O
i
i .
Pi( ) = ( )
( )
b
b
e
e , and Qi( ) = ( ) 1
b e