The School Survey on Crime and Safety (SSOCS) is managed by the National Center for Education Statistics (NCES) within the Institute of Education Sciences of the U.S. Department of Education. SSOCS collects extensive crime and safety data from principals and administrators of public schools in the United States. Data from this collection can be…

Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…

As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…

Purpose/Objectives: The purpose of this paper is to provide baseline data and characteristics of food served and consumed prior to the recently mandated nutrition standards as authorized by the Healthy, Hunger-Free Kids Act of 2010 (HHFKA). Methods: Over 600,000 school lunch menus with associated food production records from 61 elementary schools…

This paper reports on progress to date with a project underway in New Zealand involving the extraction of data from multiple government agencies that is then combined into one comprehensive longitudinal integrated dataset and made available to trial participants in a way never previously thought possible. The dataset includes school leaver…

Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…

Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…

Reviews pattern recognition techniques of multivariate statistical analysis as a means of data reduction. (SL)

This document describes the review, analysis, and decision-making process that Trinity University, Texas, went through to develop the three-part computer network that they use to gather and analyze EEG (electroencephalography) and EKG (electrocardiogram) data. The data are gathered in the laboratory on a PDP-1124, an analog minicomputer. Once…

Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…

The Comprehensive Occupational Data Analysis Programs (CODAP) are designed for analyzing and retrieving occupational survey information collected by means of job inventories. Two programs that are parts of the CODAP system are described: the Ordering of Hierarchically Grouped Case Data (KPATH) program which reorders case data permitting…

Describes some procedures designed to assist instructors in developing a research component using the computer. Benefits include development of research skills, kindling student interest in the field of political science, and recruitment potential. (Author/CK)

Recommendations are made for data processing procedures for the National Center for Education Statistics' (NCES) Common Core of Data survey program. Data are anticipated from about 16,000 local education agencies and 85,000 schools in the 50 states, the District of Columbia, and 7 territories. These recommendations concern editing and verification…

Two of the most successful regional educational data processing centers in Iowa are analyzed to provide information for future efforts to develop educational information systems. Objectives of the system and its scope of operation are determined. Then hardware/software necessary to achieve these goals is specified, along with an estimated budget…

Data collection and analysis are frequently neglected by school leaders over the course of the decision-making process. All schools gather large amounts of information about students and teachers, but most data are used to satisfy administrative requirements rather than evaluate school improvement in a systematic fashion. Apprehension regarding…