NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Faming; Liu, Yaping; Leung, Shing On – School Effectiveness and School Improvement, 2022
Disciplinary climate and opportunity to learn (OTL) are considered as effectiveness-enhancing factors that can improve mathematics achievement. In this study, we investigated whether the school-level aggregation of student-reported OTL could yield reliable and valid measures, and then explored the relationships among disciplinary climate, OTL, and…
Descriptors: Mathematics Achievement, Structural Equation Models, Discipline Policy, Educational Environment
Peer reviewed Peer reviewed
Direct linkDirect link
Khine, Myint Swe; Fraser, Barry J.; Afari, Ernest – Learning Environments Research, 2020
Relationships between students' perceptions and their non-cognitive outcomes (epistemological beliefs, self-efficacy and attitudes to science) were investigated through secondary analysis of data from 14,167 United Arab Emirates students who participated in the Programme for International Student Assessment (PISA). Structural equation modeling…
Descriptors: Educational Environment, Achievement Tests, International Assessment, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Anastasiou, Dimitris; Sideridis, Georgios D.; Keller, Clayton E. – Exceptionality, 2020
This study investigates the multivariate relationships among socioeconomic factors, special education coverage (SEC), and reading across countries participating in the Program for International Student Assessment (PISA). Three socioeconomic factors were considered: (a) gross national income per capita, (b) income inequality via the Gini index, and…
Descriptors: Socioeconomic Influences, Special Education, Income, Social Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Basl, Josef – International Journal of Science Education, 2011
The theme of this paper is students' interest in future natural sciences-related careers. It is based on data from the Programme for International Student Assessment survey that in 2006 focused attention on the science literacy achievements of students. The paper uses the methods of linear regression modelling and structural equation modelling in…
Descriptors: Family Characteristics, Career Choice, Regression (Statistics), Natural Sciences
Peer reviewed Peer reviewed
Direct linkDirect link
Shin, Jongho; Lee, Hyunjoo; Kim, Yongnam – School Psychology International, 2009
The purpose of the study was to comparatively investigate student- and school-level factors affecting mathematics achievement of Korean, Japanese and American students. For international comparisons, the PISA 2003 data were analysed by using the Hierarchical Linear Modeling method. The variables of competitive-learning preference, instrumental…
Descriptors: Mathematics Achievement, Foreign Countries, Comparative Education, Performance Factors