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Martin, Michael O.; Mullis, Ina V. S. – Journal of Educational and Behavioral Statistics, 2019
International large-scale assessments of student achievement such as International Association for the Evaluation of Educational Achievement's Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study and Organization for Economic Cooperation and Development's Program for International…
Descriptors: Achievement Tests, International Assessment, Mathematics Tests, Science Achievement
Wang, Jianjun; Ma, Xin – Athens Journal of Education, 2019
This rejoinder keeps the original focus on statistical computing pertaining to the correlation of student achievement between mathematics and science from the Trend in Mathematics and Science Study (TIMSS). Albeit the availability of student performance data in TIMSS and the emphasis of the inter-subject connection in the Next Generation Science…
Descriptors: Scores, Correlation, Achievement Tests, Elementary Secondary Education
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Doorey, Nancy A. – Council of Chief State School Officers, 2011
The work reported in this paper reflects a collaborative effort of many individuals representing multiple organizations. It began during a session at the October 2008 meeting of TILSA when a representative of a member state asked the group if any of their programs had experienced unexpected fluctuations in the annual state assessment scores, and…
Descriptors: Testing, Sampling, Expertise, Testing Programs
Broughman, Stephen P.; Swaim, Nancy L.; Hryczaniuk, Cassie A. – National Center for Education Statistics, 2011
In 1988, the National Center for Education Statistics (NCES) introduced a proposal to develop a private school data collection that would improve on the sporadic collection of private school data dating back to 1890 and improve on commercially available private school sampling frames. Since 1989, the U.S. Bureau of the Census has conducted the…
Descriptors: Private Schools, Statistical Significance, Sampling, Statistics
Battle, Danielle – National Center for Education Statistics, 2010
While the National Center for Education Statistics (NCES) has conducted surveys of attrition and mobility among school teachers for two decades, little was known about similar movements among school principals. In order to inform discussions and decisions among policymakers, researchers, and parents, the 2008-09 Principal Follow-up Survey (PFS)…
Descriptors: Principals, Occupational Mobility, Labor Turnover, Followup Studies

Hartman, Bruce W.; And Others – Journal of Experimental Education, 1986
The detrimental effects of nonresponse bias are particularly significant given the widespread use of the survey data collection method in educational surveys. Current methods for remediating nonresponse bias in educational surveys are explored and critiqued. (Author/LMO)
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Error of Measurement
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
Wise, Lauress L., II – 1983
BRRVAR, which uses the Balanced Repeated Replication approach, was designed for use with the Statistical Analysis System (SAS). It was created for the National Center for Education Statistics, to enlarge their capacity to estimate and analyze sampling errors for statistics generated from educational surveys with complex sampling designs. BRRVAR…
Descriptors: Computer Software, Elementary Secondary Education, Error of Measurement, Estimation (Mathematics)
Folsom, Ralph E., Jr. – 1977
Beginning with the planning stages of the National Assessment of Educational Progress (NAEP), careful attention has been given to the design of efficient probability sampling methods for the selection of class-age respondents and the assignment of test packages. With these methods, it is possible for NAEP researchers to make relatively precise…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
Ross, J. Michael – 1996
This paper presents a number of arguments for the increased importance of within-state district-level data in systematic assessments in the organizational structure of schools as educational institutions. The major question is whether the Schools and Staffing Survey (SASS) should shift its focus toward more macro-institutional district level…
Descriptors: Adult Education, Elementary Secondary Education, Error of Measurement, Evaluation Methods

Willms, J. Douglas; Raudenbush, Stephen W. – Journal of Educational Measurement, 1989
A general longitudinal model is presented for estimating school effects and their stability. The model, capable of separating true changes from sampling and measurement error, controls statistically for effects of factors exogenous to the school system. The model is illustrated with data from large cohorts of students in Scotland. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Error of Measurement, Estimation (Mathematics)
Salvucci, Sameena; Walter, Elizabeth; Conley, Valerie; Fink, Steven; Saba, Mehrdad – 1997
This report provides an overview of a selection of measurement error studies conducted on National Center for Education Statistics (NCES) surveys. Its intent is not to offer new analyses of program data, but to summarize information from internal memoranda, working papers, and adjudicated reports about errors of measurement that occur during five…
Descriptors: Data Analysis, Data Collection, Educational Indicators, Elementary Secondary Education
Hill, Richard – 1997
In the Spring, 1996, issue of "CRESST Line," E. Baker and R. Linn commented that, in efforts to measure the progress of schools, "the fluctuations due to differences in the students themselves could conceal differences in instructional effects." This is particularly true in the context of the evaluation of adequate yearly…
Descriptors: Academic Achievement, Compensatory Education, Disadvantaged Youth, Educational Improvement
Quality Profile for SASS: Aspects of the Quality of Data in the Schools and Staffing Surveys (SASS).
Jabine, Thomas B. – 1994
This profile presents and summarizes available information about the quality of data from the five surveys that comprise the SASS, along with background material on the survey design and procedures for the following: (1) School Survey; (2) School Administrator Survey; (3) Teacher Demand and Shortage Survey; (4) Teacher Survey; and (5) Teacher…
Descriptors: Data Analysis, Data Collection, Data Processing, Elementary Secondary Education
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