Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11051
Title: Person Fit for Test Speededness Normal Curvatures, Likelihood Ratio Tests and Empirical Bayes Estimates
Authors: Goegebeur, Yuri
De Boeck, Paul
MOLENBERGHS, Geert 
Issue Date: 2010
Publisher: HOGREFE & HUBER PUBLISHERS
Source: METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES, 6(1). p. 3-16
Abstract: The local influence diagnostics, proposed by Cook (1986), provide a flexible way to assess the impact of minor model perturbations on key model parameters' estimates. In this paper, we apply the local influence idea to the detection of test speededness in a model describing nonresponse in test data, and compare this local influence approach to the optimal person fit index proposed by Drasgow and Levine (1986), and the empirical Bayes estimate of the test speededness random effect. The performance of the methods is illustrated on the Chilean SIMCE mathematics test data. The data example indicates that the three statistics are promising when it comes to the detection of special profiles, and besides overlap to a considerable extent. Given that the statistics were developed for different purposes, they react of course differentially to the various characteristics of the response profiles, and hence also exhibit some specificity.
Notes: [Goegebeur, Yuri; De Boeck, Paul] Katholieke Univ Leuven, Dept Psychol Higher Cognit & Individual Differenc, Louvain, Belgium. [Molenberghs, Geert] Hasselt Univ, Diepenbeek, Belgium. yuri.goegebeur@stat.sdu.dk
Keywords: missing data; sensitivity analysis; local influence; empirical Bayes; likelihood ratio test;missing data; sensitivity analysis; local influence; empirical Bayes; likelihood ratio test
Document URI: http://hdl.handle.net/1942/11051
ISSN: 1614-1881
e-ISSN: 1614-2241
DOI: 10.1027/1614-2241/a000002
ISI #: 000279183000002
Category: A1
Type: Journal Contribution
Validations: ecoom 2011
Appears in Collections:Research publications

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