| Summary: | In this thesis, it will be discussed how to estimate parameters on Item
Responses 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.
Estimation method which issued on IRT in this thesis is Bayesian
Estimation. Estimator of item characteristics, difficulty level (b), discrimination
(a), and pseudo guessing (c), and estimator of examinee is examinee of ability ()
gain by using Numeric Method , Newton-Raphson Iteration. The characteristics of
item are used to determined information function. The characteristics of examinee
is used to choose items which high information function and adapted with ability
in adaptive test.
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