Literature DB >> 32076355

Testing the Local Independence Assumption of the Rasch Model With Q 3-Based Nonparametric Model Tests.

Rudolf Debelak1, Ingrid Koller2.   

Abstract

Local independence is a central assumption of commonly used item response theory models. Violations of this assumption are usually tested using test statistics based on item pairs. This study presents two quasi-exact tests based on the Q 3 statistic for testing the hypothesis of local independence in the Rasch model. The proposed tests do not require the estimation of item parameters and can also be applied to small data sets. The authors evaluate the tests with three simulation studies. Their results indicate that the quasi-exact tests hold their alpha level under the Rasch model and have higher power against different forms of local dependence than several alternative parametric and nonparametric model tests for local independence.
© The Author(s) 2019.

Keywords:  IRT model fit; Rasch model; local independence

Year:  2019        PMID: 32076355      PMCID: PMC7003184          DOI: 10.1177/0146621619835501

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  7 in total

1.  Evaluation of global testing procedures for item fit to the Rasch model.

Authors:  Juan C Suárez-Falcón; Cees A W Glas
Journal:  Br J Math Stat Psychol       Date:  2003-05       Impact factor: 3.380

2.  Formalizing dimension and response violations of local independence in the unidimensional Rasch model.

Authors:  Ida Marais; David Andrich
Journal:  J Appl Meas       Date:  2008

3.  Item diagnostics in multivariate discrete data.

Authors:  Alberto Maydeu-Olivares; Yang Liu
Journal:  Psychol Methods       Date:  2015-04-13

4.  Critical Values for Yen's Q3: Identification of Local Dependence in the Rasch Model Using Residual Correlations.

Authors:  Karl Bang Christensen; Guido Makransky; Mike Horton
Journal:  Appl Psychol Meas       Date:  2016-11-16

5.  How should we assess the fit of Rasch-type models? Approximating the power of goodness-of-fit statistics in categorical data analysis.

Authors:  Alberto Maydeu-Olivares; Rosa Montaño
Journal:  Psychometrika       Date:  2012-10-20       Impact factor: 2.500

6.  A Statistical Test for Differential Item Pair Functioning.

Authors:  Timo M Bechger; Gunter Maris
Journal:  Psychometrika       Date:  2014-09-16       Impact factor: 2.500

7.  A diagnostic procedure to detect departures from local independence in item response theory models.

Authors:  Michael C Edwards; Carrie R Houts; Li Cai
Journal:  Psychol Methods       Date:  2017-04-03
  7 in total
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Journal:  PLoS One       Date:  2022-09-15       Impact factor: 3.752

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