Applying LASSO Regression to Understand House Effect on PIRLS 2021 Turkey Results

• In Event: Models for International Assessments

Abstract

This research explores the application of LASSO regression to the PIRLS 2021 Turkey dataset. Given the observed multicollinearity among the selected variables, LASSO, a regularization technique, is employed to derive more precise insights. The analysis also uses the five plausible values (PVs) provided in the dataset to ensure robust conclusions.

Authors

• SERIFE OKAY, Hacettepe University

• Sinan Yavuz, American Institutes for Research

• Selahattin Gelbal, HACETTEPE UNIVERSITY