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Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
National Forum on Education Statistics, 2013
This document is intended to serve as a practical guide for implementing a teacher-student data link (TSDL) that supports a range of uses at the local, regional, and state levels. The guide addresses the considerations for linking teacher and student data from multiple perspectives, including governance, policies, data components, business rules,…
Descriptors: Data Collection, Data Analysis, Educational Research, Research Utilization
Bill & Melinda Gates Foundation, 2010
This document is part of a series of guides designed to help school district leaders address one of the toughest challenges in American education: dropout rates of 30 percent nationwide, 50 percent in many big cities, and 60 percent or more in the lowest-performing schools. It includes tools for data analysts to drill down into the data and use…
Descriptors: Dropout Rate, Academic Achievement, School Districts, Data Analysis
Dayton, Charles; Stern, David – Career Academy Support Network, 2010
In order to assess how completely a Small Learning Community (SLC) and/or Career Academy is implemented in any given site, and to connect the degree of implementation with the amount of improvement in student performance, two kinds of information are needed. The first is information on the quality of implementation, which can be collected by…
Descriptors: Check Lists, Career Academies, Program Effectiveness, Self Evaluation (Groups)
Hardy, Lawrence – American School Board Journal, 2003
Requirements of the No Child Left Behind Act present school districts with a massive lesson in data-driven decision-making. Technology companies offer data-management tools that organize student information from state tests. Offers districts advice in choosing a technology provider. (MLF)
Descriptors: Academic Achievement, Access to Education, Accountability, Compliance (Legal)
Ebert, Mary K.; And Others – 1983
This manual was developed to provide a model for evaluating programs for handicapped preschoolers that can be used by all Maryland school districts regardless of size or resources. The model has five components: (1) how children are identified as handicapped; (2) what type of testing takes place before and after a child is placed in a program; (3)…
Descriptors: Attitude Measures, Classroom Observation Techniques, Data Analysis, Disabilities
Davis, Gary – Association for Institutional Research, 1981
Ways that higher education institutions can improve their compliance procedures in responding to external requests for reports and information are addressed. Institutional officers must first determine how the data will be used by the external agency. By questioning how the requested information will be used, a determination can be made of what…
Descriptors: Accountability, Compliance (Legal), Confidential Records, Cost Effectiveness