Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Author
Agosta, John M. | 1 |
Anthes, Katy | 1 |
Armstrong, Jane | 1 |
Bailey, Jessica | 1 |
Bezuidenhout, J. J. | 1 |
Carr, Nora | 1 |
Chandler, Kathryn A. | 1 |
Chen, Xianglei | 1 |
Choy, Susan P. | 1 |
Dorn, Sherman, Ed. | 1 |
Fleury, Jill K. | 1 |
More ▼ |
Publication Type
Guides - Non-Classroom | 6 |
Reports - Research | 6 |
Journal Articles | 3 |
Reports - Descriptive | 3 |
Guides - General | 2 |
Numerical/Quantitative Data | 2 |
Reports - Evaluative | 2 |
Books | 1 |
Information Analyses | 1 |
Education Level
Elementary Secondary Education | 2 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Policymakers | 15 |
Practitioners | 8 |
Administrators | 7 |
Researchers | 3 |
Parents | 2 |
Teachers | 2 |
Community | 1 |
Location
California | 1 |
District of Columbia | 1 |
Florida | 1 |
Illinois | 1 |
Maryland | 1 |
Massachusetts | 1 |
Minnesota | 1 |
Oregon | 1 |
Rhode Island | 1 |
South Africa | 1 |
Washington | 1 |
More ▼ |
Laws, Policies, & Programs
Pell Grant Program | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
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
Tsai, Tiffany; Tosh, Katie – RAND Corporation, 2020
Teachers' use of student data to inform instruction is commonly accepted as sound educational practice, and this data use is only likely to grow as more data, as well as more-complex data, become increasingly available to educators. However, numerous studies reveal inconsistent data use among teachers and an overall lack of the preparation and…
Descriptors: Data Analysis, Data Use, Database Management Systems, Personnel Data
Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
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
American Institutes for Research, 2014
This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…
Descriptors: Data, Access to Information, State Policy, Guidelines
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
Dorn, Sherman, Ed. – Education Policy Analysis Archives, 2006
This editorial reviews recent studies of accountability policies using National Assessment of Educational Progress (NAEP) data and compares the use of aggregate NAEP data to the availability of individual-level data from NAEP. While the individual-level NAEP data sets are restricted-access and do not give accurate point-estimates of achievement,…
Descriptors: National Competency Tests, Academic Achievement, Accountability, Data
Armstrong, Jane; Anthes, Katy – American School Board Journal, 2001
The Education Commission of the States conducted interviews in six school districts in five different states (California, Colorado, Iowa, Maryland, and Texas) to understand how districts can use data most effectively. These districts had used data to dramatically improve student achievement. Districts that make wise use of data have strong…
Descriptors: Academic Achievement, Data Analysis, Data Interpretation, Databases
Carr, Nora – American School Board Journal, 2001
School leaders are developing a "just-in-time" approach to research and data analysis to help inform and shape their decisions. Careful analysis of data can reveal patterns that can be improved. The key is to focus districts' research and analysis on the issues that will make the biggest difference in terms of student, teacher, and…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Interpretation
Kaufman, Phillip; Chen, Xianglei; Choy, Susan P.; Peter, Katharin; Ruddy, Sally A.; Miller, Amanda K.; Fleury, Jill K.; Chandler, Kathryn A.; Plany, Michael G.; Rand, Michael R. – 2001
This report, the fourth in a series of annual reports on school crime, presents the latest available data on school crime and student safety. National indicators affirm that the levels of crime in school have continued to decline, that acts that promote fear and detract from learning are decreasing, and that students feel safer in school than they…
Descriptors: Crime, Data Analysis, Data Interpretation, Death
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
Bezuidenhout, J. J. – 1986
The purpose of this research project was to compile and analyze data concerning the composition and geographic distribution of South Africa's population for the purpose of future educational planning to meet the needs of four population groups. This document contains statistics and conclusions on: (1) the role of population shifts and…
Descriptors: Comparative Analysis, Comparative Education, Data Analysis, Data Interpretation
Agosta, John M.; Howard, Anne – 1986
The report describes activities and findings of an 18-month project which surveyed day and other non-residential services provided to persons with mental retardation in the Commonwealth of Massachusetts. An introductory section describes project purposes, followed by a description of project methods (sampling plan, questionnaire development,…
Descriptors: Administrative Principles, Adults, Agency Role, Community Involvement
Wisconsin Univ. - Stout, Menomonie. Center for Vocational, Technical and Adult Education. – 1984
This report, part of a 5-year evaluation project (fiscal years 1983-87), represents a summary and synthesis of self evaluation data from 45 secondary schools. Each school conducted an extensive vocational program self evaluation, accumulating data from graduates, employers, advisory committee members, staff and current students. On site…
Descriptors: Advisory Committees, Data Analysis, Data Interpretation, Employer Attitudes
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