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Since the creation of the National Cooperative Educational Statistics System in 1988, states have joined with the National Center for Education Statistics to produce and maintain comparable and uniform education statistics. Through the National Forum on Education Statistics, states have met to develop and propose a set of basic data elements for voluntary use. Using these data elements will provide more comparable and reliable education information for any educational system adopting the common terminology. The basic data elements will not meet every education information purpose, but a set of basic data elements should help answer the most frequently asked questions about the administration, status, quality, operation, and performance of schools and school systems. This report presents a process for selecting and including new data elements in an information system and the student and staff elements that can be used to create information for conducting the day-to-day administration of schools and school districts; completing federal and state reports, and creating indicators that address questions about the success and functioning of education systems. The basic data elements selected for student information systems are grouped into categories of: (1) personal information; (2) enrollment; (3) school participation and activities; (4) assessment; (5) transportation; (6) health conditions, special program participation, and student support services; and (7) discipline. Similar elements defined for staff information systems include personal information, educational background, qualification information, current employment, assignments, and information on career development and separation from employment. An appendix contains discussions of policy questions, indicators, and basic data elements. (SLD)
With limited authority over state lawmaking, but ultimate responsibility for the performance of government, how effective are governors in moving their programs through the legislature? This book advances a new theory about what makes chief executives most successful and explores this theory through original data. Thad Kousser and Justin H. Phillips argue that negotiations over the budget, on the one hand, and policy bills on the other are driven by fundamentally different dynamics. They capture these dynamics in models informed by interviews with gubernatorial advisors, cabinet members, press secretaries and governors themselves. Through a series of novel empirical analyses and rich case studies, the authors demonstrate that governors can be powerful actors in the lawmaking process, but that what they're bargaining over – the budget or policy – shapes both how they play the game and how often they can win it.
One in every seven children is disabled. Children with disabilities are among the most likely to be marginalized, poor and vulnerable. UNICEF is committed to improving the lives of children, particularly those who face the greatest disadvantages. The report will investigate the web of barriers disabled children face: discrimination, harmful norms and the lack of accurate information. The report will analyse and provide good-practice guidance on: inclusive health and education; prevention; nutrition; protection from violence, exploitation and abuse; emergency response; institutionalization; and the role of appropriate technology and infrastructure
In this IBM Redbooks publication we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.
Following the enlargement of the European Union in May 2004, Roma (or gypsies) are now the largest minority group in Europe. They are also one of the poorest and most vulnerable groups, living mainly in Central and Eastern Europe, suffering poverty levels as high as ten times that found within majority populations. The lack of information about the living conditions and needs of Roma people compound these stark gaps in human development outcomes. This publication, prepared for a conference held in Budapest, Hungary in June 2003, brings together original sociological research, evaluations of programme initiatives, and the first comparative cross-country household survey on ethnicity and poverty. It finds that Roma poverty is multi-faceted and can only be addressed by a inclusive policy approach which respects their diversity.
Illustrations and rhyming text follow a loon chick as she learns how to survive--and thrive--in her first year. Includes facts about loons.
This comprehensive text presents descriptive and inferential statistics with an assortment of business examples and real data, and an emphasis on decision-making. The accompanying CD-ROM presents Excel and Minitab tutorials as well as data files for all the exercises and exmaples presented.