Predicting English Language Proficiency Scores from Learner Background Variables: The Role of Gender, Age, and Years Abroad in Test Scores

Abstract

Demographic factors, such as learner background variables, are strongly correlated with aptitude test scores of international English as a Second Language learners. This study conducted a multiple linear regression to assess the role of gender, length of study abroad, and age of international college students enrolled in an English for Academic Purposes program at a Midwestern university in the United States (n=626) in predicting scores on a test of English proficiency. Regression results were significant, although the explanatory power of the overall model was weak. These results suggest that certain learner backgrounds play a role in predicting test performance, and may be of interest language program designers and classroom teachers in placing students, and planning for English as a Second Language courses

Publication
Journal of Nagoya Gakuin University
Ryan L. Barnes
Ryan L. Barnes
Designated Associate Professor, Institute of Liberal Arts and Sciences

My research interests include linguistic landscape and computer assisted language learning.