Drawing parallels to classical test theory, this article clarifies the difference between rater accuracy and reliability and demonstrates how category marginal frequencies affect rater agreement and Cohen's kappa. Category assignment paradigms are developed: comparing raters to a standard (index) versus comparing two raters to one another…

An important part of current research regarding online risks is aimed at analysing cyber aggression according to its frequency and type. By contrast, there is less scientific knowledge available on risk perception, the analysis of its components, and the measurement and impact on the behaviour of minors on the Internet. Therefore, the main…

As an initial step toward improving the outcomes of learners with disabilities, special educators have formulated guidelines for identifying evidence-based practices. We describe the Council of Exceptional Children's new set of standards for identifying evidence-based practices in special education and how they (a) were systematically vetted by…

This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…

With its critical assessments of scientific evidence on the effectiveness of education programs, policies, and practices (referred to as "interventions"), and a range of products summarizing this evidence, the What Works Clearinghouse (WWC) is an important part of the Institute of Education Sciences' strategy to use rigorous and relevant…

This study evaluates a large urban district's standards-based promotion policy decisions against a model-driven classification. Hierarchical logistic regression was used to explore factors related to grade retention at both the student and school level. Statistical results indicate that using students' next year achievement test scores as…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…