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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
Vanneman, Alan; White, Sheida – Education Statistics Quarterly, 2000
Explains how schools and students are selected for the National Assessment of Educational Progress (NAEP) and why high participation rates are important. Describes the multistage sampling method, which allows the National Center for Education Statistics to give an accurate picture of student performance while keeping the burden on schools and…
Descriptors: National Surveys, Participation, Research Design, Research Methodology
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Thomas, Neal; Gan, Nianci – Journal of Educational and Behavioral Statistics, 1997
Describes and assesses missing data methods currently used to analyze data from matrix sampling designs implemented by the National Assessment of Educational Progress. Several improved methods are developed, and these models are evaluated using an EM algorithm to obtain maximum likelihood estimates followed by multiple imputation of complete data…
Descriptors: Data Analysis, Item Response Theory, Matrices, Maximum Likelihood Statistics
Chromy, James R. – 1998
States participating in the National Assessment of Educational Progress State Assessment program (state NAEP) are required to sample at least 2,500 students from at least 100 schools per subject assessed. In this ideal situation, 25 students are assessed for a subject in each school selected for that subject. Two problems have arisen: some states…
Descriptors: Elementary Secondary Education, National Competency Tests, Research Design, Research Methodology
Vanneman, Alan; White, Sheida – Focus on NAEP, 2000
Each year, the National Center for Education Statistics (NCES), asks thousands of schools and students to participate in the National Assessment of Educational Progress (NAEP). Their participation allows NCES to provide accurate information nationwide on how U.S. students perform in a variety of academic subjects. The NAEP uses a multistage…
Descriptors: Elementary Secondary Education, National Competency Tests, National Surveys, Participation
Folsom, Ralph E.; Williams, Rick L. – 1982
The National Assessment of Educational Progress (NAEP), like most large national surveys, employs a complex stratified multistage unequal probability sample. The design provides a rigorous justification for extending survey results to the entire U.S. target population. Developments in the analysis of data from complex surveys which provide a…
Descriptors: Cluster Analysis, Educational Assessment, Hypothesis Testing, Mathematics Achievement
Williams, Rick L.; And Others – 1981
The National Assessment of Educational Progress in-school sampling design is a three-stage stratified design. Stratification variables include region, size of community and socioeconomic status. The three levels of sample selection are Primary Sampling Units (PSUs), schools and students. In general, two and sometimes three PSUs are selected from…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
Moore, R. Paul; And Others – 1974
The sampling designs and procedures used by the National Assessment of Educational Progress in its second year assessment activities are documented. The report is organized in three parts. Project objectives and other background information are discussed in the first section. The details of the second year school and household samples are…
Descriptors: Community Size, Data Collection, Educational Assessment, Family (Sociological Unit)
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Johnson, Eugene G. – Journal of Educational Statistics, 1989
The effects of certain characteristics (e.g., sample design) of National Assessment of Educational Progress (NAEP) data on statistical analysis techniques are considered. Ignoring special features of NAEP data and proceeding with a standard analysis can produce inferences that underestimate the true variability and overestimate the true degrees of…
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
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Linn, Robert L.; Dunbar, Stephen B. – Journal of Educational Measurement, 1992
Several issues related to the design and reporting of results from the National Assessment of Educational Progress (NAEP) are discussed in the context of current expectations for the NAEP and its origins. These issues include: (1) content coverage and format; (2) estimation procedures; and (3) reporting problems. (SLD)
Descriptors: Content Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Chromy, James R.; And Others – 1981
The primary sample for Year 11 of the National Assessment of Educational Progress (NAEP) was selected in March 1979, and was preceded by an 18-month planning effort. During the planning period, research concentrated in five specific areas: sampling frame construction, stratification criteria, efficiency study review, techniques and computer…
Descriptors: Asian Americans, Computer Programs, Educational Assessment, Elementary Secondary Education
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Rust, Keith F.; Johnson, Eugene G. – Journal of Educational Statistics, 1992
Procedures for obtaining student samples for the National Assessment of Educational Progress (NAEP) and deriving survey weights for analysis of survey data are described. Sample designs are economically and operationally feasible, and weighting procedures result in increased precision of estimates as they account for the probabilities of student…
Descriptors: Data Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Page, Ellis Batten – 1982
A review of the National Assessment of Educational Progress (NAEP), which originated 20 years ago, is presented; and the original political, ideological and social science assumptions for the design of NAEP are examined. The report criticizes the founding principle as hampering NAEP's maximum utility and exploratory power. In examining the form of…
Descriptors: Educational Assessment, Educational Principles, Educational Quality, Educational Research
Bay, Luz; Chen, Lee; Hanson, Bradley A.; Happel, Jay; Kolen, Michael J.; Miller, Timothy; Pommerich, Mary; Sconing, James; Wang, Tianyou; Welch, Catherine – 1997
This report presents an investigation by the American College Testing Program (ACT) of an alternative design for the National Assessment of Educational Progress (NAEP). The proposed design greatly simplifies the data collection and analysis procedures needed to produce assessment results and has the potential to produce results that are more…
Descriptors: Data Analysis, Data Collection, Educational Assessment, Elementary Secondary Education
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Johnson, Eugene G. – Journal of Educational Measurement, 1992
Features of the design of the National Assessment of Educational Progress (NAEP) are discussed, with emphasis on the design of the 1992 assessment. Student sample designs for the NAEP and the Trial State Assessment are described, and the focused-balanced incomplete block spiraling method of item sampling is discussed. (SLD)
Descriptors: Academic Achievement, Educational Assessment, Educational Change, Elementary Secondary Education
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