| Summary: | In this thesis, it wil be discussed how to estimate paramaters on Item
Response Theory (IRT). There are three models of logistics on IRT, One
Parameter Logistics Model (1-PL), Two Parameter Logistics Model (2-PL), and
Three Parameter Logistics Model (3-PL), the differences lay on how many
parameter we used. Basic assumption on IRT are Unidimensional, Local
Independence, and Invariance Parameter.
Estimation medthod which isused on IRT in the thesis is Maximum
Likelihood Estimation (MLE). Estimator of item characteristics, difficulty level
(b), disciminant (a), pseudo guessing (c), and examinee ability (�) gain by using
Numeric Methode, Newton Raphson Iteration. The item characteristics are used
for Adaptive Tests and Computerized Adaptive Tests (CAT).
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