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Item Response Theory approaches to test scoring and evaluating the score accuracy

Brown, Anna (2018) Item Response Theory approaches to test scoring and evaluating the score accuracy. In: Irwing, Paul and Booth, Thomas and Hughes, David, eds. The Wiley Handbook of Psychometric Testing. Wiley-Blackwell, London, pp. 607-638. ISBN 978-1-118-48983-3. (doi:10.1002/9781118489772.ch20) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:44777)

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The ultimate goal of psychometric testing is to produce a score by which people can be differentiated. Item Response Theory (IRT) devises methods for estimating person’s score on one or more psychological constructs (traits) from his/her responses to test items. This chapter gives an overview of scoring methods applicable to situations when the test items indicate one trait only; or a set of related traits but each item contributes to measurement of one trait; or when each item indicates multiple traits. We consider scoring methods based on item responses only, as well as Bayesian methods, which use prior knowledge of the trait distribution. Much of this chapter is devoted to methods for assessing measurement precision provided by individual items, the whole test, and the prior distribution. In IRT, this precision can be evaluated for each individual response pattern. All described methods are illustrated with a single empirical example.

Item Type: Book section
DOI/Identification number: 10.1002/9781118489772.ch20
Uncontrolled keywords: test scoring; IRT person parameter; item information function; prior information; posterior information; multidimensional IRT; bifactor model; marginal reliability
Subjects: H Social Sciences > HA Statistics
Divisions: Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Anna Brown
Date Deposited: 18 Nov 2014 10:29 UTC
Last Modified: 09 Mar 2023 11:33 UTC
Resource URI: (The current URI for this page, for reference purposes)

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