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2016 | OriginalPaper | Buchkapitel

A Three-Parameter Speeded Item Response Model: Estimation and Application

verfasst von : Joyce Chang, Henghsiu Tsai, Ya-Hui Su, Edward M. H. Lin

Erschienen in: Quantitative Psychology Research

Verlag: Springer International Publishing

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Abstract

When given time constraints, it is possible that examinees leave the harder items till later and are not able to finish answering every item in time. In this paper, this situation was modeled by incorporating a speeded-effect term into a three-parameter logistic item response model. Due to the complexity of the likelihood structure, a Bayesian estimation procedure with Markov chain Monte Carlo method was presented. The methodology is applied to physics examination data of the Department Required Test for college entrance in Taiwan for illustration.

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Vorheriges Kapitel Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn About Underlying Item Response Processes

Nächstes Kapitel An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects

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Titel: A Three-Parameter Speeded Item Response Model: Estimation and Application
verfasst von: Joyce Chang
Henghsiu Tsai
Ya-Hui Su
Edward M. H. Lin
Verlag: Springer International Publishing
Buch: Quantitative Psychology Research
Print ISBN: 978-3-319-38757-4

Electronic ISBN: 978-3-319-38759-8

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-38759-8_3

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