Using Process Data to Explain Gender Differences in PIRLS 2021

• In Event: GSIC Poster Session II

Abstract

Girls consistently outperform boys on average in international large-scale reading assessments. This study categorized students into three types utilizing mixture models on PIRLS 2021 process data: “Rapid”, “Middle”, and “Slow”. The “Rapid” type includes more boys. The study examines whether the response process types explain gender achievement gaps in reading.

Authors

• Dihao Leng, Boston College

• Matthias von Davier, BOSTON COLLEGE