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What Works Clearinghouse Rating
Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
Data Quality Campaign, 2023
The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…
Descriptors: Parent Attitudes, Data Collection, Information Dissemination, Parents
Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Mariann Lemke; Dan Murphy; Aaron Soo Ping Chow; Angela Acuña – WestEd, 2024
Beginning with the 2020/21 school year, the Massachusetts Department of Elementary and Secondary Education (DESE) began an ongoing effort to collect and analyze literacy screening assessment data from schools and districts participating in certain state grants to inform improvement efforts. Grantee schools and districts that provide literacy…
Descriptors: Grants, Benchmarking, At Risk Students, Reading Difficulties
Rotou, Ourania; Rupp, André A. – ETS Research Report Series, 2020
This research report provides a description of the processes of evaluating the "deployability" of automated scoring (AS) systems from the perspective of large-scale educational assessments in operational settings. It discusses a comprehensive psychometric evaluation that entails analyses that take into consideration the specific purpose…
Descriptors: Computer Assisted Testing, Scoring, Educational Assessment, Psychometrics
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
Cotto, Robert, Jr. – Teachers College Record, 2016
Connecticut experienced two major changes in testing policy for children with disabilities that played a major role in conclusions about educational progress in the state. First, the No Child Left Behind Act (NCLB) of 2001 required that all students with disabilities participate in grade-level, standardized tests. This movement of students…
Descriptors: Disabilities, Data Collection, Student Evaluation, Standardized Tests
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Culbertson, Michael J.; Billig, Shelley H. – Regional Educational Laboratory Central, 2016
Rural districts have long faced challenges in closing achievement gaps between subgroups of students. This brief report describes key decision points and considerations for decision-makers interested in identifying rural districts that have closed academic achievement gaps. Examining practices in these districts may suggest activities associated…
Descriptors: Rural Schools, School Districts, Academic Achievement, Achievement Gap
Schneider, Jack; Jacobsen, Rebecca; White, Rachel; Gehlbach, Hunter – Phi Delta Kappan, 2017
When it comes to measuring the quality of a school, policy leaders tend to embrace standardized tests as the go-to indicator, whereas parents and community members tend to rely on reputation, word-of-mouth, and what they perceive with their own eyes. The authors suggest a better approach: a new framework that looks at three categories of inputs…
Descriptors: Educational Quality, Measurement Techniques, Educational Environment, School Culture
Boehle, Monica – Journal of Staff Development, 2014
This article describes three types of data that can impact how instructional coaches face the challenges in measuring the impact of their work with teachers on student learning. Descriptions of the three types of data--"shifts in teacher reflective tendencies," "the use of student performance as an indicator of success," and…
Descriptors: Coaching (Performance), Instructional Effectiveness, Measurement Techniques, Reflection
Regional Educational Laboratory Mid-Atlantic, 2013
This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…
Descriptors: Academic Achievement, Decision Making, Data Analysis, Feedback (Response)
Mitchell, Joshua J.; Ryder, Andrew J. – New Directions for Student Services, 2013
Dashboard systems are increasingly popular as assessment and performance management tools in higher education. This chapter examines the use of dashboards in student affairs, including examples of key indicators and considerations for developing and implementing these tools. The chapter begins with an overview of the origins of dashboards, from…
Descriptors: Evaluation Methods, Higher Education, Student Personnel Services, Information Management