CREES Grant Program, United State Department of Agriculture.
Download the project's synopsis and goals.
The overarching goals of this project include:
To accomplish this, the team will create a data set spanning 35 years including information from federal, state, and local data sources such as the Census Bureau, the University of Illinois Extension Office, Bureau of Labor Statistics, Illinois State Board of Education Report Cards, and others. Factors included in the analysis will include: population demographics; economic factors such as unemployment rates, wages, and property values; school variables such as expenditures, drop-out, and graduation rates; and ecological factors such as community type (e.g., urban or rural), and distance to an urban area.
Using the project’s statistical model as a tool, policymakers and school leaders will be able to compare their districts’ characteristics and trends against the predictors of school closure to assess whether or not their district is heading toward closure or consolidation. In addition, from this tool policymakers and school leaders will be able to learn about the possible impact of school closure and consolidation on the involved communities by entering their data into the statistical model that bases its prediction of impacts on data collected from communities who have already experienced school closures and/or consolidation.
Frank Beck, Sherrilyn Billger, Norman Durflinger, Joseph Pacha, and Lynne Curry