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Showing all 15 results Save | Export
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
Camara, Wayne J.; Allen, Jeff – ACT, Inc., 2017
Students must choose when to take the ACT for the first time and if and when to retest. States and districts that administer the ACT test to all students must also choose when to administer the test. A key consideration in making these decisions is the impact on scores. Because the ACT is a curriculum-based test of academic achievement, students…
Descriptors: Scores, Time Perspective, Scheduling, Testing
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Cizek, Gregory J. – Assessment in Education: Principles, Policy & Practice, 2016
Advances in validity theory and alacrity in validation practice have suffered because the term "validity" has been used to refer to two incompatible concerns: (1) the degree of support for specified interpretations of test scores (i.e. intended score meaning) and (2) the degree of support for specified applications (i.e. intended test…
Descriptors: Scores, Definitions, Evaluation Utilization, Data Interpretation
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Hays, Danica G.; Wood, Chris – Measurement and Evaluation in Counseling and Development, 2017
We present considerations for validity when a population outside of a normed sample is assessed and those data are interpreted. Using a career group counseling example exploring life satisfaction changes as evidenced by the Quality of Life Inventory (Frisch, 1994), we showcase qualitative and quantitative approaches to explore how normative data…
Descriptors: Data Interpretation, Scores, Quality of Life, Life Satisfaction
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Amendum, Steven J.; Conradi, Kristin; Pendleton, Melissa J. – Intervention in School and Clinic, 2016
This article is designed to help teachers interpret reading assessment data from DIBELS beyond individual subtests to better support their students' needs. While it is important to understand the individual subtest measures, it is more vital to understand how each fits into the larger picture of reading development. The underlying construct of…
Descriptors: Reading Tests, Data Interpretation, Student Needs, Elementary School Students
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Martineau, Joseph A.; Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2015
This article is a commentary of a paper by Derek C. Briggs and Frederick A. Peck, "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth," which describes an elegant potential framework for at least beginning to address three priorities in large-scale assessment that have not been…
Descriptors: Performance Factors, Barriers, Program Implementation, Group Testing
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Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
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
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Martin, Peter Clyde – Current Issues in Education, 2011
This article discusses how the Adequate Yearly Progress (AYP) accountability mechanism of No Child Left Behind makes use of supposedly objective standardized test scores to describe schools in a certain way when the very same results could serve to draw very different conclusions. Examining the proficiency scores of students from a specific middle…
Descriptors: Federal Legislation, Educational Improvement, Accountability, Educational Indicators
Setzer, J. Carl – GED Testing Service, 2009
The GED[R] English as a Second Language (GED ESL) Test was designed to serve as an adjunct to the GED test battery when an examinee takes either the Spanish- or French-language version of the tests. The GED ESL Test is a criterion-referenced, multiple-choice instrument that assesses the functional, English reading skills of adults whose first…
Descriptors: Language Tests, High School Equivalency Programs, Psychometrics, Reading Skills
Hendrickson, Peter – American School Board Journal, 2002
Describes how to report test data to parents and the news media. Provides examples from the Evergreen School District in Vancouver, Washington. Includes specific suggestions on how to work with reports. (PKP)
Descriptors: Data Interpretation, Elementary Secondary Education, High Stakes Tests, News Media
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Trimble, Susan; Gay, Anne; Matthews, Jan – Middle School Journal (J3), 2005
Advances in technology available to access test data coupled with the challenges of No Child Left Behind (NCLB) are pushing schools to grapple with the complexities of test score data. With the current frenzy to raise test scores, there is little attention being paid to teacher development in learning to use data to improve learning. For the past…
Descriptors: Scores, Academic Achievement, Data Interpretation, Evaluation Utilization
Bank, Adrianne; Williams, Richard C. – 1985
This document is divided into two parts: the first presents a taxonomy of questions designed for a hypothetical computer database; the second describes the rationale for a question oriented approach to data. This taxonomy is described as a list of questions an educator might use to find out more about the achievement, attendance, and…
Descriptors: Academic Achievement, Attendance Records, Classification, Computer Oriented Programs
Burley, Hansel – American School Board Journal, 2001
Disappointing high-stakes test results matter far less than the type of future citizens that schools produce. Citizenship values (teamwork, leadership, and neighborliness) are not assessed well by multiple-choice exams. Poor performers should not be segregated, data should be reinterpreted, and remediation should stress tutoring interventions, not…
Descriptors: Accountability, Citizenship Education, Data Interpretation, Elementary Secondary Education
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