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Direct linkMartínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Download full textHanagriff, Roger D.; Rayfield, John; Briers, Gary; Murphy, Tim – Journal of Agricultural Education, 2014
Supervised Agricultural Experience (SAE) is a well-documented, valuable, and integral part of agricultural education programs (Bryant, 2003; Cheek, Arrington, Carter, & Randall, 1994; Deyoe, 1953; Dyer & Osborne, 1996; Moore, 1988; Roberts & Harlin, 2007). Cole and Connell (1993) found that there was little research regarding the…
Descriptors: Economic Impact, Agricultural Engineering, Mechanics (Process), Competition
Landau, Julia K.; Vohs, Janet R.; Romano, Carolyn A. – 1998
This guide is designed to provide basic guidelines and points of reference for participation in discussions on policies and practices related to the inclusion of students with disabilities in large-scale assessment programs. The results of a survey of statewide assessment programs are discussed, including findings that very few states currently…
Descriptors: Accountability, Administrators, Data Collection, Disabilities
