This supplement contains documentation on all the derived variables contained in the PIRLS and prePIRLS 2011 data files that are based on background questionnaire variables. These variables were used to report background data in the PIRLS 2011 International Results in Reading report, and are made available as part of this database to be used in…

This study examined the early college success of students who graduated from an Indiana high school in 2010 and enrolled immediately in a public two-year or four-year college in Indiana. The study team identified data elements in Indiana's Student Information System that predicted the early college success of this cohort of students. Half of…

Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…

This supplement describes national adaptations made to the international version of the PIRLS/prePIRLS 2011 background questionnaires. This information provides users with a guide to evaluate the availability of internationally comparable data for use in secondary analyses involving the PIRLS/prePIRLS 2011 background variables. Background…

An early warning system is a data-based tool that helps predict which students are on the right path towards eventual graduation or other grade-appropriate goals. Through such systems, stakeholders at the school and district levels can view data from a wide range of perspectives and gain a deeper understanding of student data. This "Statewide…

Describes Expert 4, a knowledge-base management system which develops student performance predictors based on routinely collected student data. When exploited, these predictors serve to improve recruitment and selection processes. Tabulations of data on library and business information technology students, produced by Expert 4, are presented to…

Researchers have been placing an increased importance on discovering what variables contribute to better prognosis during behavioral interventions for children with autism. This article preliminarily identifies sleep problems that may exacerbate symptoms of autism; thus, possibly influencing effectiveness of daytime interventions. A data-base of…

Describes the development of a computer-aided decision-making system to assist educational practitioners in curriculum decision making about innovative program features and implementation requirements. Topics discussed include the identification of variables; database generation; mathematical modeling; compromising between effectiveness and…

Describes how the State University of New York, using large databases and regression techniques, has developed several coordinated, comprehensive efforts to evaluate and project current and future enrollments. One requires decomposition of the student population into mutually exclusive subgroups. The other, superior, approach uses logistic…

This report describes plans for the development of a major longitudinal research database designed to support the development and validation of new predictors of Army performance, and also new measures of Army performance against which the new predictors can be validated. The following aspects of the database are addressed: (1) the anticipated…

Describes a study that investigated the effects of cognitive style (field dependent and field independent) and online database search experience (novice and experienced) on undergraduate World Wide Web search performance. Considers user factors to predict search efficiency and discusses implications for Web interface design and user training…

A computerized information system was developed from specifications of 40 data elements to provide a database for decision making about problems relating to new admissions standards on a multi-campus, open admissions university. For over 400 entering freshman, multivariate analysis of the data elements and other standard predictors was used to…

A research project underway at the University of Arizona is described, and the usefulness of the national data system of the Higher Education General Information Survey (HEGIS) to institutional researchers, as well as some drawbacks of the system, are considered. The need for institutions to have data on enrollment, budgets, and faculty/students…