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Direct linkRožman, 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
Chen, Jianan; van Laar, Saskia; Braeken, Johan – Large-scale Assessments in Education, 2023
A general validity and survey quality concern with student questionnaires under low-stakes assessment conditions is that some responders will not genuinely engage with the questionnaire, often with more random response patterns as a result. Using a mixture IRT approach and a meta-analytic lens across 22 educational systems participating in TIMSS…
Descriptors: Elementary Secondary Education, International Assessment, Achievement Tests, Foreign Countries
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
Nonte, Sonja; Hartwich, Lea; Willems, Ariane S. – Large-scale Assessments in Education, 2018
Background: Numerous studies have investigated the relationships between various student, home and contextual factors and reading achievement. However, the relationship between such factors and reading attitudes has been investigated far less, despite the fact that theoretical frameworks of large-scale assessments and school effectiveness research…
Descriptors: Reading Achievement, Reading Attitudes, Student Attitudes, Structural Equation Models
