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Showing 1 to 15 of 55 results Save | Export
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
Sam, A. – National Professional Development Center on Autism Spectrum Disorders, 2016
Self-management systematizes self-regulation strategies for learners with autism spectrum disorder (ASD) in order for learners with ASD to learn the rules and norms needed to act appropriately in a given situation. Self-regulation strategies can include self-monitoring, self-reflection, and adapting to a given context. Self-management is both a…
Descriptors: Self Management, Evidence Based Practice, Autism, Pervasive Developmental Disorders
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Kekahio, Wendy; Baker, Myriam – Regional Educational Laboratory Pacific, 2013
Using data strategically to guide decisions and actions can have a positive effect on education practices and processes. This facilitation guide shows education data teams how to move beyond simply reporting data to applying data to direct strategic action. Using guiding questions, suggested activities, and activity forms, this guide provides…
Descriptors: Research Utilization, Data Analysis, Strategic Planning, Decision Making
Warren, Constancia; Rennie-Hill, Leslie; Pfeiffer, Jay Jordon – US Department of Education, 2012
The emergence of longitudinal data systems over the past decade has provided exciting opportunities to better understand students' educational trajectories over time and institutions. The stark reality for today's high school students is that some form of postsecondary education is a necessary ticket of entry to a secure economic future. This…
Descriptors: Data Use, Postsecondary Education, College Readiness, Access to Education
Administration for Children & Families, 2010
The Office of Planning, Research and Evaluation (OPRE), a unit within the Administration for Children and Families (ACF), is responsible for advising the Assistant Secretary for Children and Families on increasing the effectiveness and efficiency of programs to improve the economic and social well-being of children and families. In collaboration…
Descriptors: Program Administration, Program Evaluation, Educational Assessment, Planning
Langmeyer, David B. – 1993
In the field of child and family programs, a needs assessment, which is essentially a fact-finding exercise, can be conducted either by focusing on a particular program or by examining a population of interest. In conducting a needs assessment, it is important to be systematic, be clear about the information which is sought, be specific about the…
Descriptors: Data Analysis, Data Collection, Family Programs, Human Services
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Dunn, John A., Jr. – New Directions for Institutional Research, 1987
Setting up a successful interinstitutional data-sharing project involves commonsense guidelines: be clear about what is wanted, take advantage of what already exists, use appropriate technology, staff adequately, recognize institutional differences, and concentrate on achieving insight rather than precision. (Author/MSE)
Descriptors: Comparative Analysis, Data Collection, Disclosure, Higher Education
Palmour, Vernon E.; And Others – 1979
Intended to identify the perceived information needs of the residents of California and to determine if and how those are being met, this study conducted a survey of state residents. The report is divided into sections which detail the need for the study, previous research, implications for data collection procedures, technical aspects of the…
Descriptors: Data Collection, Guides, Information Dissemination, Information Needs
McLaughlin, John A. – 1988
This resource guide is intended to help in planning special education program evaluations. It focuses on: basic evaluation concepts, identification of special education decision makers and their information needs, specific evaluation questions, procedures for gathering relevant information, and evaluation of the evaluation process itself.…
Descriptors: Data Collection, Disabilities, Elementary Secondary Education, Evaluation Methods
Ranck, Edna Runnels – Child Care Information Exchange, 1986
Provides tips for collecting and storing information about child care and children. (HOD)
Descriptors: Administrator Role, Data Analysis, Data Collection, Day Care
Cooke, Michelle Beaulieu; Canny, Priscilla F.; Oliveira, Peg – 2003
This guide for Connecticut policymakers and advocacy groups provides instructions for conducting a community assessment--gathering and analyzing data on child well-being, using social indicators. The guide first details the steps for a community assessment: create goals and objectives, identify outcomes and indicators, develop a plan, find…
Descriptors: Child Advocacy, Child Health, Children, Data Analysis
National Center on Educational Outcomes, Minneapolis, MN. – 1993
This document presents a model of school completion outcomes and the indicators of these outcomes for all students, including students with disabilities. School completion is defined in a number of ways, including Grade 12, end of school, and time of "aging out" of eligibility for educational services. The document includes a conceptual…
Descriptors: Data Collection, Disabilities, Educational Indicators, Elementary Secondary Education
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Christal, Melodie E.; Wittstruck, John R. – New Directions for Institutional Research, 1987
Data on which to base interinstitutional comparisons can be obtained directly from institutions or from a variety of secondary and tertiary sources such as national surveys, statistical publications, newsletters, directories, and organizations. Lists of these sources are included. (MSE)
Descriptors: Comparative Analysis, Data Analysis, Data Collection, Data Interpretation
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Holznagel, Donald C. – AEDS Journal, 1983
Existing evaluation data sources for educational software need to be supplemented by local judgments since evaluation processes differ depending on the ultimate user and purpose for which the information is gathered. School districts should select evaluation models and modify them for local need based on utility, feasibility, propriety and…
Descriptors: Computer Programs, Data Collection, Decision Making, Elementary Secondary Education
Benjamin, Diane; Thompson, Kerri – 1998
Noting that obtaining facts and figures on important policy issues related to children is the critical first step toward identifying what is working and what needs improvement, this Kids Count guide is designed to help local community members find and use data on the condition of children and families in Minnesota. The guide describes how to…
Descriptors: Child Advocacy, Children, Data Collection, Elementary Secondary Education
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