Standardized Achievement Tests and English Language Learners: Psychometrics Issues

Jamal Abedi

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Psychometric Methodologies and Testing EFL/ESL Teaching and Learning Multilingual Education and Policy

Abstract

Using existing data from several locations across the U.S., this study examined the impact of students ’ language background on the outcome of achievement tests. The results of the analyses indicated that students ’ assessment results might be con-founded by their language background variables. English language learners (ELLs) generally perform lower than non-ELL students on reading, science, and math–a strong indication of the impact of English language proficiency on assessment. Moreover, the level of impact of language proficiency on assessment of ELL students is greater in the content areas with higher language demand. For example, analyses showed that ELL and non-ELL students had the greatest performance differences in the language-related subscales of tests in areas such as reading. The gap between the performance of ELL and non-ELL students was smaller in science and virtually non-existent in the math computation subscale, where language presumably has the least impact on item comprehension. The results of our analyses also indicated that test item responses by ELL stu-dents, particularly ELL students at the lower end of the English proficiency spec-trum, suffered from low reliability. That is, the language background of students may add another dimension to the assessment outcome that may be a source of measure-ment error in the assessment for English language learners. Further, the correlation between standardized achievement test scores and exter-nal criterion measures was significantly larger for the non-ELL students than for the ELL students. Analyses of the structural relationships between individual items and between items and the total test scores showed a major difference between ELL and non-ELL students. Structural models for ELL students demonstrated lower statistical

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References

1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1993What is coefficient alpha? An examination of theory and applications.2013The standards for educational and psychological testing.1979Introduction to Measurement Theory 1974The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles 1994The Interplay of Evidence and Consequences in the Validation of Performance Assessments 1992Generalizability theory: a primer

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