Sensitivity of the RMSD for Detecting Item-Level Misfit in Low-Performing Countries

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Bibliographic Details
Title: Sensitivity of the RMSD for Detecting Item-Level Misfit in Low-Performing Countries
Language: English
Authors: Tijmstra, Jesper (ORCID 0000-0001-7207-5528), Bolsinova, Maria (ORCID 0000-0002-8376-5951), Liaw, Yuan-Ling, Rutkowski, Leslie, Rutkowski, David
Source: Journal of Educational Measurement. Win 2020 57(4):566-583.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 18
Publication Date: 2020
Document Type: Journal Articles
Reports - Descriptive
Education Level: Secondary Education
Descriptors: Test Items, Goodness of Fit, Probability, Accuracy, International Assessment, Item Response Theory, Error of Measurement, Item Analysis, Simulation, Achievement Tests, Foreign Countries, Secondary School Students
Assessment and Survey Identifiers: Program for International Student Assessment
DOI: 10.1111/jedm.12263
ISSN: 0022-0655
Abstract: Although the root-mean squared deviation (RMSD) is a popular statistical measure for evaluating country-specific item-level misfit (i.e., differential item functioning [DIF]) in international large-scale assessment, this paper shows that its sensitivity to detect misfit may depend strongly on the proficiency distribution of the considered countries. Specifically, items for which most respondents in a country have a very low (or high) probability of providing a correct answer will rarely be flagged by the RMSD as showing misfit, even if very strong DIF is present. With many international large-scale assessment initiatives moving toward covering a more heterogeneous group of countries, this raises issues for the ability of the RMSD to detect item-level misfit, especially in low-performing countries that are not well-aligned with the overall difficulty level of the test. This may put one at risk of incorrectly assuming measurement invariance to hold, and may also inflate estimated between-country difference in proficiency. The degree to which the RMSD is able to detect DIF in low-performing countries is studied using both an empirical example from PISA 2015 and a simulation study.
Abstractor: As Provided
Entry Date: 2020
Accession Number: EJ1277428
Database: ERIC
Description
Abstract:Although the root-mean squared deviation (RMSD) is a popular statistical measure for evaluating country-specific item-level misfit (i.e., differential item functioning [DIF]) in international large-scale assessment, this paper shows that its sensitivity to detect misfit may depend strongly on the proficiency distribution of the considered countries. Specifically, items for which most respondents in a country have a very low (or high) probability of providing a correct answer will rarely be flagged by the RMSD as showing misfit, even if very strong DIF is present. With many international large-scale assessment initiatives moving toward covering a more heterogeneous group of countries, this raises issues for the ability of the RMSD to detect item-level misfit, especially in low-performing countries that are not well-aligned with the overall difficulty level of the test. This may put one at risk of incorrectly assuming measurement invariance to hold, and may also inflate estimated between-country difference in proficiency. The degree to which the RMSD is able to detect DIF in low-performing countries is studied using both an empirical example from PISA 2015 and a simulation study.
ISSN:0022-0655
DOI:10.1111/jedm.12263