Probability Total Choice Answer for Multiple Choice Test Logistic Model Three Parameters on IRT

Budi Susetyo

2017

Abstract

This study examines the way in which measuring tools are not dependent on the ability of the test group on multiple choice test forms with three and four answer options based on the Three Parameter Logistics (L3P) model. This research is aimed at obtaining a qualified multiple-choice test based on the information function of the item, so that it can be used by the test authors including classroom teachers or subject areas and teaching evaluation learners. The method used is the application and manufacture of multiple choice test, three and four answer choices based on L3P model and field test. The research was conducted in junior high school on science subjects with 625 respondents. The test equipment used was based on the L3P model of multiple choice objective test with three answer choices and four answer choices, and the results obtained did not show the difference to the value of the information function in both forms of the test. Therefore, educators in the manufacture of learning outcomes based on the L3P model do not need to question the number of options (option) on multiple choice test forms.

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Paper Citation


in Harvard Style

Susetyo B. (2017). Probability Total Choice Answer for Multiple Choice Test Logistic Model Three Parameters on IRT.In 1st International Conference on Educational Sciences - Volume 2: ICES, ISBN 978-989-758-314-8, pages 410-413. DOI: 10.5220/0007051609590962


in Bibtex Style

@conference{ices17,
author={Budi Susetyo},
title={Probability Total Choice Answer for Multiple Choice Test Logistic Model Three Parameters on IRT},
booktitle={1st International Conference on Educational Sciences - Volume 2: ICES,},
year={2017},
pages={410-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007051609590962},
isbn={978-989-758-314-8},
}


in EndNote Style

TY - CONF

JO - 1st International Conference on Educational Sciences - Volume 2: ICES,
TI - Probability Total Choice Answer for Multiple Choice Test Logistic Model Three Parameters on IRT
SN - 978-989-758-314-8
AU - Susetyo B.
PY - 2017
SP - 410
EP - 413
DO - 10.5220/0007051609590962