The Effect of Asymmetry of Item Characteristic Curves on Item Information Function Estimation: A Comparison of RH, 2PL, and 3PL IRT Models through Simulation Study

2019 ◽  
Vol 32 (1) ◽  
pp. 205-223
Author(s):  
Sora Lee ◽  
Sun-Geun Baek
Keyword(s):  
Simulation Study ◽  
Item Information ◽  
Function Estimation ◽  
Information Function ◽  
Characteristic Curves ◽  
Irt Models

scholarly journals ANALISIS RESPONS BUTIR PADA TES BAKAT SKOLASTIK

2018 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Farida Agus Setiawati ◽  
Rita Eka Izzaty ◽  
Veny Hidayat
Keyword(s):  
Item Difficulty ◽  
Scholastic Aptitude Test ◽  
Index Test ◽  
Information Function ◽  
Item Discrimination ◽  
Test Information ◽  
Scholastic Aptitude ◽  
Irt Models ◽  
Verbal Subtest ◽  
Test Information Function

This study aims to analyze the characteristics of the Scholastic Aptitude Test (SAT), consisting of both verbal and numerical subtests. We used a descriptive quantitative approach by describing the characteristics of SAT based on the degree of item difficulty, item discrimination index, pseudoguessing index, test information function and standard error measurement. The data are responses of the SAT instrument, collected from 1,047 subjects in Yogyakarta using the documentation technique. Data were then analyzed by Item Response Theory (IRT) approach with the help of the BILOG program on all logistic parameter models, preceded by identifying item suitability with the model. Analysis concludes that: verbal subtest tends to compliment the 2-PL and 3-PL model, meanwhile, numerical subtest only fit the 2-PL model. Majority items of SAT have a good characteristic on index of item difficulty, item discrimination, and pseudoguessing, and based of test information function, SAT is accurate to be used in the 1-PL, 2-PL, and 3-PL IRT models for all level of ability.

scholarly journals Analisis Kualitas Soal Ujian Statistika Menggunakan Classical Test Theory dan Rasch Model

2020 ◽  
Vol 2 (1) ◽  
pp. 49
Author(s):  
Jerhi Wahyu Fernanda ◽  
Noer Hidayah
Keyword(s):  
Rasch Model ◽  
Item Difficulty ◽  
Classical Test Theory ◽  
Test Theory ◽  
Item Information ◽  
Information Function ◽  
Classical Test ◽  
Item Fit

<p>Penilaian merupakan akhir dari proses pembelajaran yang dapat dilakukan melalui ujian. Soal yang digunakan harus mampu mengukur kemampuan peserta didik. <em>Classical Test Theory</em> (CTT) dan <em>Rasch model</em> merupakan analisis statistika untuk menganalis butir soal. Desain dalam penelitian ini adalah penelitian deskriptif. Hasil analisis terhadap 50 soal menggunakan metode CTT, didapatkan hasil bahwa hanya 21 soal yang memenuhi kriteria <em>item difficulty</em> dan <em>item discriminant</em>. Analisis <em>Rasch model</em>, memberikan informasi bahwa secara keseluruhan kualitas soal dikatakan baik berdasarkan pola kurva <em>item information function</em>. Analisis ini juga memberikan informasi terdapat 42 soal yang layak karena memenuhi kriteria <em>item fit,</em> dan 8 soal yang harus dievaluasi lagi. Analisis menggunakan <em>Rasch model</em> lebih baik dibandingan dengan CTT, sehingga 8 soal yang tidak layak berdasarkan analisis tersebut harus dievaluasi dengan mengubah bentuk studi kasus pada soal tersebut dan membuat inovasi metode pembelajaran terkait materi pada 8 soal tersebut.</p><p><strong>Kata kunci</strong>: analisis soal, <em>Classical Test Theory</em>, <em>Rasch model</em>.</p>

scholarly journals Comparison of Scale Identification Methods in Mixture IRT Models

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Youn-Jeng Choi ◽  
Allan S. Cohen
Keyword(s):  
Simulation Study ◽  
Constraint Effect ◽  
Identification Methods ◽  
Irt Models ◽  
Correct Model ◽  
Mixture Irt ◽  
3Pl Model

The effects of three scale identification constraints in mixture IRT models were studied. A simulation study found no constraint effect on the mixture Rasch and mixture 2PL models, but the item anchoring constraint was the only one that worked well on selecting correct model with the mixture 3PL model.

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