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Comparison between Classical Test Theory & Item Response Theory
SAIRA KAZIM (M.Phil Education)
sairakazim@gmail.com
Dimension Classical Test Theory Item Response Theory
Definition Classical test theory is a theory
about test scores that introduces
three concepts-test score (often
called the observed score), true
score, and error score.
Item response theory is a general
statistical theory about examinee item and
test performance and how performance
relates to the abilities that are measured
by the items in the test.
Model Linear Non Linear
Level Test Item
Assumption Weak (i.e., easy to meet test
data)
Strong (i.e., more difficult to meet test
data)
Item Ability
Relationship
Non Specified Item Characteristic Functions
Test Parallel Test Non Parallel Test
Invariance Sample dependent. Sample independent,
Error Equal chance for every one Not equal chance for every one
Sample Size
(for item
parameter
estimation)
200 to 500 (in general) Depends on the IRT model, but the larger
population. i.e., over 500 in general are
needed.
Performance Predictable Non Predictable

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Classical Test Theory and Item Response Theory

  • 1. Comparison between Classical Test Theory & Item Response Theory SAIRA KAZIM (M.Phil Education) sairakazim@gmail.com Dimension Classical Test Theory Item Response Theory Definition Classical test theory is a theory about test scores that introduces three concepts-test score (often called the observed score), true score, and error score. Item response theory is a general statistical theory about examinee item and test performance and how performance relates to the abilities that are measured by the items in the test. Model Linear Non Linear Level Test Item Assumption Weak (i.e., easy to meet test data) Strong (i.e., more difficult to meet test data) Item Ability Relationship Non Specified Item Characteristic Functions Test Parallel Test Non Parallel Test Invariance Sample dependent. Sample independent, Error Equal chance for every one Not equal chance for every one Sample Size (for item parameter estimation) 200 to 500 (in general) Depends on the IRT model, but the larger population. i.e., over 500 in general are needed. Performance Predictable Non Predictable