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Item Response Theory$
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Christine DeMars

Print publication date: 2010

Print ISBN-13: 9780195377033

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195377033.001.0001

Assumptions

Chapter:
(p. 38 ) 3 Assumptions
Source:
Item Response Theory
Author(s):

Christine DeMars

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195377033.003.0003

This chapter offers an in-depth discussion of the three statistical assumptions of item response theory (IRT), namely unidimensionality, local independence, and correct model specification. Each of these assumptions is described more fully, with a focus on procedures for testing each assumption. For each assumption, a number of statistical tests is proposed and explored in the literature. In addition, three common methods for testing unidimensionality are discussed: analysis of the eigenvalues of the inter-item correlation matrix, Stout's test of essential unidimensionality, and indices based on the residuals from a unidimensional solution. Weaknesses of some common approaches and indices is noted, and newer alternative procedures are described. Unfortunately, some of these procedures are quite complex and not easily implemented.

Keywords:   statistical assumptions, item response theory, unidimensionality, local independence, correct model specification

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