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

Oct 31, 2023·
Ryan Barnes
Ryan Barnes
· 0 min read
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
Type
Publication
Journal of Nagoya Gakuin University
Status
Open access
publications
Ryan Barnes
Authors
Designated Associate Professor, Institute of Liberal Arts and Sciences
Ryan Barnes is a Designated Associate Professor in the Institute of Liberal Arts and Sciences at Nagoya University. His research interests include linguistic landscape and computer assisted language learning.