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,…

Background: Accountability demands are increasingly pushing school leaders to explore more data and do more sophisticated analyses. Data-driven decision making (DDDM) has become an emerging field of practice for school leadership and a central focus of education policy and practice. Purpose: This study examined principals' DDDM practices and…

This document, which is intended for individuals at the state and local levels with responsibility for school-to-work opportunities, focuses on recommended standard procedures for evaluating school-to-work transition programs. In the introduction, the role of evaluation as a critical element in an overall program management strategy is discussed…