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Direct linkZachary del Rosario – Journal of Statistics and Data Science Education, 2024
Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…
Descriptors: Foreign Countries, Engineering Education, Engineering, Technical Occupations
Lin, E.; Balogh, R.; Cobigo, V.; Ouellette-Kuntz, H.; Wilton, A. S.; Lunsky, Y. – Journal of Intellectual Disability Research, 2013
Background: Individuals with intellectual and developmental disabilities (IDD) experience high rates of physical and mental health problems; yet their health care is often inadequate. Information about their characteristics and health services needs is critical for planning efficient and equitable services. A logical source of such information is…
Descriptors: Mental Retardation, Developmental Disabilities, Disability Identification, Data Analysis
Ercikan, Kadriye; Roth, Wolff-Michael; Asil, Mustafa – Teachers College Record, 2015
Background/Context: Two key uses of international assessments of achievement have been (a) comparing country performances for identifying the countries with the best education systems and (2) generating insights about effective policy and practice strategies that are associated with higher learning outcomes. Do country rankings really reflect the…
Descriptors: Inferences, International Education, International Studies, Case Studies
Liang, Xin – Evaluation & Research in Education, 2010
The study examined the role of classroom assessment and its relationships to student characteristics and mathematics performance by comparing the USA, Canada and Finland using Program of International Student Assessment (PISA) 2003 data. The results indicated that student individual characteristics such as gender, family social-cultural status,…
Descriptors: Individual Characteristics, Student Evaluation, Self Efficacy, Mathematics Achievement
Boerema, Albert J. – Journal of School Choice, 2009
Using student achievement data from British Columbia, Canada, this study is an exploration of the differences that lie within the private school sector using hierarchical linear modeling to analyze the data. The analysis showed that when controlling for language, parents' level of educational attainment, and prior achievement, the private school…
Descriptors: Private Schools, School Choice, Foreign Countries, Comparative Analysis
