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What Works Clearinghouse Rating
National Assessment Governing Board, 2012
For more than four decades the National Assessment of Educational Progress (NAEP) has tracked the achievement of U.S. students in major academic subjects. This national resource is the only assessment that states and now many urban districts can look to as an objective yardstick of their performance over time, relative to national benchmarks, and…
Descriptors: Academic Achievement, Data Collection, Information Needs, Needs Assessment
Lee, Jaekyung – Education and the Public Interest Center, 2010
The Education Trust research report "Stuck Schools" suggests a framework for identifying chronically low-performing schools in need of turnaround. The study uses Maryland and Indiana to show that some low-performing schools make progress while others remain stagnant. The report has four serious problems of reliability and validity,…
Descriptors: Elementary Secondary Education, Educational Improvement, Identification, Data Analysis
Peer reviewedEverhart, Robert B. – Human Organization, 1975
The use of fieldwork in evaluation presents the fieldworker and agencies connected with educational evaluation with a number of critical problems. Four of these problems are identified and discussed: 1) definition of the "problem"; 2) multiplicity of signals, expectations, and responses; 3) dispensation of fieldwork data; and 4) collection of data…
Descriptors: Data Analysis, Data Collection, Definitions, Educational Assessment
Peer reviewedPorter, Andrew C.; And Others – American Educational Research Journal, 1978
The estimation of the "size of effect" of educational programs is a difficult problem in program evaluation. It is argued that the intentions of the program and the nature of the measures must be known in order to estimate program effects. (JKS)
Descriptors: Data Analysis, Educational Assessment, Instructional Programs, Measurement Objectives
Mislevy, Robert J. – 1995
Educational assessment concerns inference about students' knowledge, skills, and accomplishments. Because data are never so comprehensive and unequivocal as to ensure certitude, test theory evolved in part to address questions of weight, coverage, and import of data. The resulting concepts and techniques can be viewed as applications of more…
Descriptors: Academic Achievement, Data Analysis, Educational Assessment, Inferences
Anderson, Ronald E.; And Others – 1981
The organization of data at the National Assessment of Educational Progress (NAEP) is undergoing a significant transition from a system designed only for national assessment purposes to one designed both for assessment and a variety of academic research interests. The advent of NAEP public-use data files opens up many possibilities for those who…
Descriptors: Achievement Rating, Data Analysis, Educational Assessment, Elementary Secondary Education
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Woods, Elinor M. – VocEd, 1980
Reviews the usefulness of existing national longitudinal studies in determining the effects of vocational education. It is clear that there is no unified vocational education program and that students in these programs differ markedly from those in other curricula. (SK)
Descriptors: Data Analysis, Education Work Relationship, Educational Assessment, Longitudinal Studies
Greene, Jennifer C.; Kellogg, Theodore – 1977
Statewide assessment data available from two school years, two grade levels, and five sources (achievement tests; student, principal, and teacher questionnaires; and principal interviews), were aggregated to more closely investigate the relationship between student/school characteristics and student achievement. To organize this large number of…
Descriptors: Academic Achievement, Data Analysis, Databases, Educational Assessment
Peer reviewedWiley, David E. – Educational Evaluation and Policy Analysis, 1979
Title I Evaluation models using uniform procedures and data collection for state and national comparisons are interpreted as federal endorsement of basic, common competencies in reading and mathematics. Basic competencies, content homogeneity, conversion methodology, and validity of the evaluation are discussed. (MH)
Descriptors: Academic Achievement, Academic Standards, Basic Skills, Compensatory Education
Airasian, Peter W.; And Others – 1979
The methodological parameters of evaluative research studies help to identify a conceptualization of the phenomenon under investigation. Holistic critiques that identify the conceptual models under which the research was conducted shed light on the validity of the disparate inferences made from a number of studies of schools and school…
Descriptors: Academic Achievement, Concept Formation, Data Analysis, Data Collection
Glaser, Ezra – 1975
This guide is essentially designed as a teaching aid for those who would inform planners, officials of educational ministries, school administrators, principals, and teachers about educational outcome measurements. In outline and graphic form, the guide presents topics for discussion in a seminar dealing with the application of outcome…
Descriptors: Budgets, Comparative Analysis, Correlation, Cost Effectiveness
Peer reviewedClements, Barbara S. – Equity and Excellence, 1991
To make educational assessments and comparisons meaningful, dropout data must be collected according to the same definitions, by the same procedures, and over the same time periods. A 31-state pilot project represents an effort by the National Center for Education Statistics to standardize data collection about high school completion. (SLD)
Descriptors: Data Analysis, Data Collection, Definitions, Dropout Rate
Shaycoft, Marion F. – 1977
In 1959, the American Institutes for Research (AIR) and the University of Pittsburgh selected a stratified random probability sample of all secondary schools (public, parochial, and private) in the United States, tested all their students in grades 9-12 with a two-day battery of aptitude tests, information tests, tests of ability and achievement,…
Descriptors: Academic Achievement, Aptitude, Biographical Inventories, Career Choice


