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Qian, Jiahe – ETS Research Report Series, 2017
The variance formula derived for a two-stage sampling design without replacement employs the joint inclusion probabilities in the first-stage selection of clusters. One of the difficulties encountered in data analysis is the lack of information about such joint inclusion probabilities. One way to solve this issue is by applying Hájek's…
Descriptors: Mathematical Formulas, Computation, Sampling, Research Design
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Hopstock, Paul J.; Pelczar, Marisa P. – National Center for Education Statistics, 2011
This technical report and user's guide is designed to provide researchers with an overview of the design and implementation of the 2009 Program for International Student Assessment (PISA), as well as with information on how to access the PISA 2009 data. This information is meant to supplement that presented in Organization for Economic Cooperation…
Descriptors: Parent Materials, Academic Achievement, Measures (Individuals), Program Effectiveness
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Braun, Henry; Qian, Jiahe – ETS Research Report Series, 2008
This report describes the derivation and evaluation of a method for comparing the performance standards for public school students set by different states. It is based on an approach proposed by McLaughlin and associates, which constituted an innovative attempt to resolve the confusion and concern that occurs when very different proportions of…
Descriptors: State Standards, Comparative Analysis, Public Schools, National Competency Tests
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Oranje, Andreas – ETS Research Report Series, 2006
Confidence intervals are an important tool to indicate uncertainty of estimates and to give an idea of probable values of an estimate if a different sample from the population was drawn or a different sample of measures was used. Standard symmetric confidence intervals for proportion estimates based on a normal approximation can yield bounds…
Descriptors: Computation, Statistical Analysis, National Competency Tests, Comparative Analysis
National Center for Public Policy and Higher Education, 2006
This "Technical Guide" describes the methodology and concepts used to measure and grade the performance of the 50 states in the higher education arena. Part I presents the methodology for grading states and provides information on data collection and reporting. Part II explains the indicators that comprise each of the graded categories.…
Descriptors: Higher Education, Research Methodology, Documentation, Testing
Jones, Lyle V. – 1986
It has been proposed that the National Assessment of Educational Progress (NAEP) increase its efforts to gather and analyze data on student background, teachers, households, and schools. Adoption of this proposal would result in the inclusion in NAEP of additional background variables and subpopulations, to be defined by states. NAEP specification…
Descriptors: Biographical Inventories, Community Characteristics, Comparative Analysis, Educational Assessment
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Johnson, Matthew S.; Jenkins, Frank – ETS Research Report Series, 2005
Large-scale educational assessments such as the National Assessment of Educational Progress (NAEP) sample examinees to whom an exam will be administered. In most situations the sampling design is not a simple random sample and must be accounted for in the estimating model. After reviewing the current operational estimation procedure for NAEP, this…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, National Competency Tests, Sampling
Mullis, Ina V. S.; And Others – 1990
The National Assessment of Educational Progress (NAEP) is a survey of the educational achievement of American students and changes in their achievement across time. The NAEP has collected information for over 20 years to assist educators and policy makers. This guide intends to: document current NAEP methods for both state and national…
Descriptors: Academic Achievement, Comparative Analysis, Data Collection, Educational Assessment
American Association of School Administrators, Washington, DC. – 1966
In this publication, designed to serve interested laymen as well as educators, various authors explore the viewpoints of the proponents and the opponents of the National Assessment Program. In their analysis of assessment and its related issues, these authors attempt to provide information that could serve as a basis for an objective consideration…
Descriptors: Achievement Tests, Comparative Analysis, Comparative Testing, Curriculum Evaluation
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Calderone, John, Ed.; King, Laura Mitchell, Ed.; Horkay, Nancy, Ed. – 1997
The National Assessment of Educational Progress (NAEP), often called the "Nation's Report Card," is the only nationally representative, continuing assessment of what U.S. students know and can do in various subject areas. NAEP provides a comprehensive measure of students' learning at critical junctures in their school experience. The…
Descriptors: Academic Achievement, Comparative Analysis, Data Collection, Educational Assessment
Horkay, Nancy, Ed. – 1999
As mandated by Congress, the National Assessment of Educational Progress (NAEP) surveys the educational accomplishments of U.S. students and monitors changes in those accomplishments. NAEP tracks the educational achievement of 4th, 8th, and 12th graders over time in selected content areas, and has been tracking achievement for 30 years. The goals…
Descriptors: Academic Achievement, Comparative Analysis, Data Collection, Educational Assessment
Jones, Calvin C. – 1986
The National Assessment of Educational Progress (NAEP) is compared to the two studies of the National Educational Longitudinal Studies (NELS) Program--the National Longitudinal Study of the Class of 1972 (resurveyed in 1973, 1974, 1976, and 1979) and the 1980 High School and Beyond study (partially resurveyed and retested in 1982). The third phase…
Descriptors: Agency Cooperation, Comparative Analysis, Computer Assisted Testing, Data Collection
Beaton, Albert E. – 1989
The introduction of the trial state assessment program into the design of the 1990 National Assessment of Educational Progress (NAEP) raises questions about differences across states in sampling and administration practices. In addition, questions about the general approach to comparing state data to national data need discussion. Subject areas…
Descriptors: Comparative Analysis, Differences, Elementary School Students, Elementary Secondary Education