The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…

Reading self-concept plays a significant role in academic achievement. Considering increasing numbers of English learners (ELs) in the United States, there is an urgent need to investigate self-perceptions of ELs in comparison to those of native English speakers (NES). We applied Elastic Net analysis (ENET), a machine learning approach, to PISA…

Background: Young females have been found to out-perform males in terms of grades and university degrees in many studies. At the same time, young women seem to exhibit lower levels of well-being compared with men. Interestingly, little work has evaluated the interplay between educational success and well-being. However, antecedents and…

This paper explores the PISA [Programme for International Student Assessment] achievement of twenty countries in light of some of their demographic differences. SES [student socioeconomic status], nuclear family, gender, home language, and native status were predictive of achievement for every country. Demographics accounted for as little as 8…