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ERIC Number: EJ1132359
Record Type: Journal
Publication Date: 2017
Pages: 15
Abstractor: As Provided
ISSN: ISSN-0895-7347
Standard Errors for National Trends in International Large-Scale Assessments in the Case of Cross-National Differential Item Functioning
Sachse, Karoline A.; Haag, Nicole
Applied Measurement in Education, v30 n2 p102-116 2017
Standard errors computed according to the operational practices of international large-scale assessment studies such as the Programme for International Student Assessment's (PISA) or the Trends in International Mathematics and Science Study (TIMSS) may be biased when cross-national differential item functioning (DIF) and item parameter drift are present. This bias may be somewhat reduced when cross-national DIF is correlated over study cycles, which is the case in PISA. This article reviews existing methods for calculating standard errors for national trends in international large-scale assessments and proposes a new method that takes into account the dependency of linking errors at different time points. We conducted a simulation study to compare the performance of the standard error estimators. The results showed that the newly suggested estimator outperformed the existing estimators as it estimated standard errors more accurately and efficiently across all simulated conditions. Implications for practical applications are discussed.
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Publication Type: Journal Articles; Reports - Research
Education Level: Secondary Education; Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Program for International Student Assessment; Trends in International Mathematics and Science Study
Grant or Contract Numbers: N/A