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Rožman, Mojca; Liaw, Yuan-Ling; Chen, Minge – Large-scale Assessments in Education, 2023
Background: The global outbreak of the novel COVID-19 virus presented a significant threat to students' well-being across the globe. In this paper, we construct a measure of student psychological distress related to COVID-19 disruption. We then examine the variation in students' psychological distress as a function of student demographic…
Descriptors: Psychological Patterns, Predictor Variables, COVID-19, Pandemics
I Gusti Ngurah Darmawan; Anak Agung Sagung Sri Kencana Dharmapatni – Large-scale Assessments in Education, 2024
This paper explores student and school level factors associated with 15-year-old students' reading performance in five Southeast Asian (SEA) countries. It investigates predictors of reading performance, including student gender, economic, social, and cultural status (ESCS), social well-being, and experiences of bullying at the student level. It…
Descriptors: Student Characteristics, Institutional Characteristics, Adolescents, Reading Achievement
Yao Yang; Yukiko Maeda; Marcia Gentry – Large-scale Assessments in Education, 2024
Background: This empirical study aims to investigate the association between mathematics self-efficacy and mathematics achievement gaps among students in Grades 4, 8, and 12, utilizing data from the 2019 National Assessment of Educational Progress (NAEP). The study also considers student-level (e.g., mathematics self-efficacy, gender,…
Descriptors: Mathematics Skills, Self Efficacy, Mathematics Achievement, National Competency Tests
Qiu, Xue-Lan; Leung, Frederick K. S. – Large-scale Assessments in Education, 2022
This study investigated the status of equity in mathematics education in Hong Kong based on data from TIMSS 2011 to 2019 and the changes in education equity across the three cycles. The effects of various student-, family-, and school-level variables on students' mathematics achievement were examined and compared using multilevel modeling. Results…
Descriptors: Equal Education, Mathematics Education, Foreign Countries, Elementary Secondary Education
Immekus, Jason C.; Jeong, Tai-sun; Yoo, Jin Eun – Large-scale Assessments in Education, 2022
Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…
Descriptors: Foreign Countries, Secondary School Students, Artificial Intelligence, Educational Technology
Costanzo, Antonella; Desimoni, Marta – Large-scale Assessments in Education, 2017
The number of studies addressing issues of inequality in educational outcomes using cognitive achievement tests and variables from large-scale assessment data has increased. Here the value of using a quantile regression approach is compared with a classical regression analysis approach to study the relationships between educational outcomes and…
Descriptors: Achievement Tests, Measurement, Regression (Statistics), Correlation