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Sarah Staveteig Ford; Matthew Kirwin – International Journal of Social Research Methodology, 2023
International survey researchers are increasingly turning to a geospatial sampling approach known as gridded population sampling for finer resolution and a more updated sampling frame than conventional census-based sampling. To date, there have been no direct comparisons of accuracy between survey results derived from the two methods. This…
Descriptors: Accuracy, Sampling, Elections, Census Figures
Bureau of the Census (DOC), Washington, DC. Economics and Statistics Administration. – 1997
This update to the School Enrollment Report of the Current Population Survey presents detailed tables about the school enrollment of the civilian, noninstitutionalized population of the United States. It is the first update of a new series designed to reduce the number of printed reports by updating Current Population Survey tables annually while…
Descriptors: Census Figures, Dropouts, Elementary Secondary Education, Enrollment
Collins, Mary A.; Brick, J. Michael; Kim, Kwang; Stowe, Peter – 1997
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics that is designed to provide information on educational issues that can best be studied through contacting households rather than educational institutions. This report compares the information collected through telephone…
Descriptors: Adult Education, Adults, Census Figures, Comparative Analysis
Jackson, Betty J.; Frazier, Richard L. – 1996
In 1987 the U.S. Census Bureau created a universe of private elementary and secondary schools for the National Center for Education Statistics (NCES). This universe has been updated every 2 years through list frame updating and area frame updating. For the list frame updating, lists of private schools are obtained from various associations around…
Descriptors: Census Figures, Elementary Secondary Education, Institutional Characteristics, National Surveys
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Freedman, David A.; And Others – Evaluation Review, 1993
Techniques for adjusting census figures are discussed, with a focus on sampling error, uncertainty of estimates resulting from the luck of sample choice. Computer simulations illustrate the ways in which the smoothing algorithm may make adjustments less, rather than more, accurate. (SLD)
Descriptors: Algorithms, Census Figures, Computer Simulation, Error of Measurement
Johnson, Victoria A. – 1991
The effectiveness of five methods used to estimate the population parameters of a variable of interest from a random sample in the presence of non-response to mail surveys was tested in conditions that vary the return rate and the relationship of the variable of interest to the likelihood of response. Data from 125,092 adult Alabama residents in…
Descriptors: Adults, Census Figures, Comparative Analysis, Estimation (Mathematics)
Young, Winnie Y. – 1982
Suggestions and guidelines for using the Bureau of the Census' Current Population Survey (CPS) files are provided. CPS is based on the civilian component of a national probability sample of households and is conducted by the Bureau of the Census. The survey gathers employment data on a continuing basis, as well as supplemental information on such…
Descriptors: Census Figures, Cohort Analysis, Data Collection, Data Processing
National Academy of Sciences - National Research Council, Washington, DC. Panel on Decennial Census Methodology. – 1984
The Panel on Decennial Census Methodology met during the year 1984 to investigate the following technical issues related to the 1990 United States census: (1) adjustment of census counts and characteristics; (2) sampling; and (3) administrative records. A number of recommendations were made. It was suggested that a low priority be given to…
Descriptors: Census Figures, Data Collection, Demography, Estimation (Mathematics)
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Mittenberg, Wiley; And Others – Psychological Assessment, 1992
Normative data for the Wechsler Memory Scale-Revised were derived empirically using a sample of 50 volunteers between 25 and 34 years of age, who matched U.S. Census data on demographic characteristics. Differences between these empirical norms and published norms that were estimated statistically appear clinically significant. (SLD)
Descriptors: Adults, Census Figures, Demography, Diagnostic Tests
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King, Irene – 1977
The statistics in this report are based on data obtained from the October, 1974, Current Population Survey conducted by the Bureau of the Census. Estimates are made of the number of children three to five years old enrolled in preprimary programs and analyzed by selected socioeconomic factors of age, race, type of school, control of school…
Descriptors: Census Figures, Demography, Early Childhood Education, Enrollment
Levy, Paul S.; French, Dwight K. – 1977
Synthetic estimation is a statistical technique that estimates small-area statistics by combining national estimates of the relevant characteristics with estimates of other known characteristics of the small geographic area. The advantages of the synthetic estimation approach to local estimation are its intuitive appeal, its simplicity, and its…
Descriptors: Census Figures, Data Collection, Demography, Error Patterns
National Center for Education Statistics (ED), Washington, DC. – 1996
The National Center for Education Statistics (NCES) conducts a unified set of surveys that facilitates comparison between public and private schools, school districts, and administrator data. The integrated set of surveys is called the Schools and Staffing Survey (SASS). A Teacher Followup Survey (TFS) is conducted a year after the SASS survey to…
Descriptors: Census Figures, Comparative Analysis, Data Collection, Educational Administration
Tella, Alfred – 1976
For one important set of data, namely, the data on unemployment and employment collected by the Census Bureau in its monthly Current Population Survey (CPS), some information on nonsampling error is available that can be used to evaluate the regularly reported labor force figures. The paper is concerned with the nonsampling error that relates…
Descriptors: Business Cycles, Census Figures, Data Analysis, Employment Level