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Showing 1 to 15 of 17 results Save | Export
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
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
American Association of School Administrators, Arlington, VA. – 2002
School system leaders are discovering the power of data for promoting school improvement. This guide provides practitioners, parents, and community with insights and tools for cultivating a districtwide culture of data-driven inquiry. Chapter 1 points out that data provide quantifiable proof, taking the emotion and rancor out of the…
Descriptors: Academic Achievement, Accountability, Data Analysis, Data Collection
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
Becker, Betsy Jane; Chang, Lin – 1986
Differences in science achievement between males and females have been examined either directly or indirectly in a variety of studies. This investigation reviewed a quantitative synthesis of correlational research on science affect, ability, and achievement conducted by Steinkamp and Maehr. Their findings were reassessed by employing a…
Descriptors: Academic Achievement, Data Interpretation, Females, Measurement Techniques
Shellard, Elizabeth – 2002
in this era of standards, high-stakes testing, and accountability, school leaders need to know how they can increase the achievement of their students. Researchers have found that high-achieving schools show common, key factors, including challenging learning experiences for all students, a principal who fulfills his/her role as the instructional…
Descriptors: Academic Achievement, Accountability, Administrator Role, 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
National School Boards Association, Alexandria, VA. – 2001
This book is an easy-to-use guide for school boards in how to use data intelligently when evaluating student achievement, educational improvement, and school accountability. Its purpose is to encourage school boards to use data as a basis for their decision-making instead of speculation, perception, or limited observation. Board members can learn…
Descriptors: Academic Achievement, Accountability, Administrators, Board Administrator Relationship
Lawrence, Barbara – 1987
This guide presents ways for practitioners to use Chapter 1 achievement data to better understand and evaluate elements of a Chapter 1 program. A variety of types and levels of questions can be addressed with achievement data. Combining standardized achievement test scores with data from the program and from the regular classroom greatly increases…
Descriptors: Academic Achievement, Achievement Gains, Achievement Tests, Compensatory Education
Holcomb, Edie L. – Corwin Press, 2004
This book builds upon the best-selling first edition to provide additional guidance and support for educators who are "ready, willing, and able" to explore more sophisticated uses of data. New tools and activities facilitate active engagement with data and a collaborative culture of collective responsibility for the learning of all…
Descriptors: Federal Legislation, Motivation, Group Activities, School Effectiveness
Peer reviewed Peer reviewed
Hanson, Marjorie; And Others – Educational Administration Quarterly, 1986
Identifies situations in which there is disparity between coefficients calculated from aggregate versus individual level data. Determines the magnitudes of these discrepancies, and discusses the implications for test score reporting and policy decisions based in whole or in part on the aggregate level relationships and discrepancies identified.…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Peer reviewed Peer reviewed
Reinehr, Robert C. – Teaching of Psychology, 1991
Describes a technique for demonstrating personality scale validation techniques to introductory psychology students. Claims that the technique promotes a better grasp of the principles of test validation. Results include better class discussion, written reports, and examination grades. Suggests that introducing practical applications before…
Descriptors: Academic Achievement, Behavior Rating Scales, Data Interpretation, Demonstrations (Educational)
Kober, Nancy – 2001
This report provides educational stakeholders with information about how to close the achievement gap in education. Researchers reviewed several analyses of test score data and various studies of the gap and its causes. Part 1 contains background information and discusses why this gap has become such a critical issue, reviews basic principles, and…
Descriptors: Academic Achievement, Academic Standards, Data Interpretation, Educational Policy
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