Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…

In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…

Data-driven decision making, popularized in the 1980s and 1990s, is evolving into a vastly more sophisticated concept known as big data that relies on software approaches generally referred to as analytics. Big data and analytics for instructional applications are in their infancy and will take a few years to mature, although their presence is…

This guide provides some basic statistical techniques that may be used in writing grant proposals, analyzing reports, and evaluating programs. Examples focus on rural Pennsylvania. The first section, Understanding Data, discusses definitions, codes, and data limitations. Definitions of Census Bureau geographic, demographic, housing, and…

An iterative ad hoc analysis of a variety of existing data bases was undertaken to estimate probable teacher shortages in math and science. This article describes the full set of compromises needed in order to use the data and the conclusions drawn. (Author/BW)

A state educational indicator system being developed by the Pennsylvania Educational Policy Studies (PEPS) project at the University of Pittsburgh (Pennsylvania) is described. The extensive database that has been established as part of the PEPS project includes thousands of variables that are descriptive of the 500 Pennsylvania school districts.…