Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…

All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…

Data-based decision making is all the rage. Secretary of Education Arne Duncan (2009) has emphatically declared, "I am a deep believer in the power of data to drive our decisions. Data gives us the roadmap to reform. It tells us where we are, where we need to go, and who is most at risk." In the past few years, all 50 states have adopted most or…

The 2001 No Child Left Behind Act required states to report graduation rates as a condition of high school accountability for receipt and use of federal Title I funds, and to set growth targets that would ensure all students graduate from high school. It also reaffirmed the long-standing national policy that graduation rates be used as the…

A system for developing public policy indicators would include social, economic, and environmental statistics which would define problems facing a political community. Policy indicator variables center around the broad needs of policy. Any measure of human conditions, including sources outside the basic disciplines, are used; intervals of…

The preparation and use of data needed to make objective, useful comparisons in higher education are considered. The needs for comparative data in higher education, including demands for accountability and strategic planning, are reviewed. In addition, data-related problems are considered: problems of narrowness, misrepresentation, sameness,…

In simulated decision-making situations in a community mental health center, three types of information were studied and rated: political; cost-benefit, and statistical. Only cost-benefit information was rated as significantly influencing administrators' decisions. (MH)

Explores types of information which might be used in making decisions about the quality of education. Presents methods by which this information may be utilized to make decisions at various levels in the educational enterprise. Urges that quantitative techniques for gathering information be linked with decisions concerning the quality of…

Information reporting at traditionally black colleges and universities was reviewed, based on the Higher Education General Information Survey (HEGIS) files for 36 institutions. The objective was to determine the quality of the data submitted by seven of these institutions, and to suggest actions for improving the quality of the HEGIS information…

In January 1998-March 2000, a new statistical assessment and referral system to improve the job retention of welfare recipients participating in welfare-to-work programs was piloted in the welfare-to-work program serving two counties in southwestern Michigan. The assessment and referral system is based on statistical methods and uses…