NDLI: Equal Area Estimation of Three-Parameter Logistic Model for Item Response Theory

Content Provider	IEEE Xplore Digital Library
Author	Shih-Ching Lo
Copyright Year	2008
Description	Author affiliation: Dept. of Transp. Technol. & Logistics Manage., Chung-Hua Univ., Hsinchu (Shih-Ching Lo)
Abstract	Item response theory (IRT) is used commonly for design of tests, test assembly, test scaling and calibration, construction of test item banks, investigations of test item bias, and other common procedures in the test development process. Logistic function is the most popular unidimensional IRT model. Applications of IRT models require obtaining the set of values for logistic function parameters that best fit an empirical data set. However, success in obtaining such set of values does not guarantee that the constructs they represent actually exist, for the adequacy of a model is not sustained by the possibility of estimating parameters. In this study, an Equal ARea Logistic estimation algorithm (EARL) is proposed. The EARL algorithm can estimate the parameters, which are discrimination, difficulty and pseudo-guessing level, of the logistic model. Numerical results of two-parameter and three-parameter estimation are presented to show the stability, accuracy and time-saving of the algorithm.
Starting Page	1447
Ending Page	1452
File Size	380497
Page Count	6
File Format	PDF
ISBN	9780769534732
DOI	10.1109/APSCC.2008.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-09
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Parameter estimation Transportation Conference management Calibration Technology management logistic model Iterative algorithms item response theory equal area construction Assembly Logistics Testing
Content Type	Text
Resource Type	Article

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