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Data Quality Campaign, 2021
Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…
Descriptors: Data Use, Data Collection, Data Analysis, Bias
Marion, S. F.; Gonzales, D.; Wiener, R.; Peltzman, A. – National Center for the Improvement of Educational Assessment, 2020
State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…
Descriptors: State Policy, Educational Opportunities, Program Evaluation, Summative Evaluation
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Peer reviewed Peer reviewed
Cortez, Edwin M.; Bunge, Charles A. – Journal of Library Administration, 1987
Discusses the relationship between effective organizational communication and specific library contexts and reviews the historical development of communication audits as a means of studying communication effectiveness. The generic structure of such audits is described and two models are presented in detail, including techniques for gathering and…
Descriptors: Communication Audits, Data Collection, Data Interpretation, Decision Support Systems
Neuroth, Joann; And Others – 1992
Most administrators agree that school improvement and change are needed. Disagreement among administrators arises over how the improvements should be made. Total Quality Management (TQM) is a powerful tool in bringing about change and should be considered as an effective alternative in improvement efforts. The TQM approach is designed to address…
Descriptors: Data Collection, Data Interpretation, Educational Assessment, Educational Improvement
Ashby, Cornelia M. – Government Accountability Office, 2006
Title III of the No Child Left Behind Act of 2001 (NCLBA) designates federal funds to support the education of students with limited English proficiency and provides for formula-based grants to states. This report describes the data the Education Department used to distribute Title III funds and the implications of data measurement issues for the…
Descriptors: Federal Legislation, State Officials, Limited English Speaking, Community Surveys
Hustedde, Ron; And Others – 1984
Designed to assist individuals who need to bring information to citizen groups or decision makers concerned with community economic development, this manual uses a question-answer format to cover topics that might occur to someone just starting to build an understanding of community economic analysis. Among topics covered are: strategies for…
Descriptors: Case Studies, Community Change, Community Development, Community Planning
Advisory Committee on Student Financial Assistance, Washington, DC. – 1991
In 1989 and 1990 the Advisory Committee on Student Financial Assistance to standing committees in the U.S. Congress identified and explored issues for consideration in the reauthorization of the Higher Education Act and Title IV programs. Through 18 months of information gathering the Committee uncovered three problem areas. The first problem is…
Descriptors: Access to Education, Data Collection, Data Interpretation, Delivery Systems
McClure, Charles R.; And Others – 1991
This report presents a summary of activities, findings, and recommendations from Phase I of a project to improve the effectiveness of academic health science libraries and their provision of information services. The objectives for Phase I of the project are given: (1) to identify academic health science library requirements in the areas of…
Descriptors: Academic Libraries, Data Collection, Data Interpretation, Databases
Ysseldyke, James; And Others – 1994
This paper examines issues in gathering data for purposes of making accountability decisions for students with disabilities. The first section describes five alternative methods being used: (1) administration of norm-referenced tests; (2) focus on results or outcomes; (3) Individualized Education Program aggregation; (4) secondary analysis of…
Descriptors: Accountability, Data Collection, Data Interpretation, Decision Making
Middaugh, Michael F.; And Others – 1994
This book provides conceptual and practical strategies for the data and information collection and analysis needs of a diverse group of institutions, ranging from small rural community colleges to large urban research institutions. The model framework is designed for use by any size or type of institution and gives a broad overview of various…
Descriptors: Audits (Verification), Colleges, Data Analysis, Data Collection