ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL

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 para...

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Main Author: MEMOLO, TUNDUNG
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2015
Subjects:
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author MEMOLO, TUNDUNG
author_facet MEMOLO, TUNDUNG
author_sort MEMOLO, TUNDUNG
collection UGM
description 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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spelling oai:generic.eprints.org:1345792016-12-27T14:38:32Z https://repository.ugm.ac.id/134579/ ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL MEMOLO, TUNDUNG Theoretical and Applied Mechanics 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. [Yogyakarta] : Universitas Gadjah Mada 2015 Thesis NonPeerReviewed MEMOLO, TUNDUNG (2015) ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=77510
spellingShingle Theoretical and Applied Mechanics
MEMOLO, TUNDUNG
ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL
title ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL
title_full ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL
title_fullStr ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL
title_full_unstemmed ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL
title_short ESTIMASI BAYESIAN PARAMETER BUTIR TES DAN KEMAMPUAN PADA ITEM RESPONSE THEORY (IRT) MODEL 3-PL
title_sort estimasi bayesian parameter butir tes dan kemampuan pada item response theory irt model 3 pl
topic Theoretical and Applied Mechanics
work_keys_str_mv AT memolotundung estimasibayesianparameterbutirtesdankemampuanpadaitemresponsetheoryirtmodel3pl