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David Grant; Claude Messan Setodji; Gerald P. Hunter; Melissa Kay Diliberti; Heather L. Schwartz – RAND Corporation, 2024
The American School District Panel (ASDP) is a nationally representative set of more than 1,000 school district leaders who agree to take surveys over time. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national population of school districts and charter…
Descriptors: Teacher Surveys, Administrator Surveys, School Surveys, National Surveys
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Schneider, Daniel; Harknett, Kristen – Sociological Methods & Research, 2022
In this article, we explore the use of Facebook targeted advertisements for the collection of survey data. We illustrate the potential of survey sampling and recruitment on Facebook through the example of building a large employee--employer linked data set as part of The Shift Project. We describe the workflow process of targeting, creating, and…
Descriptors: Social Media, Data Collection, Advertising, National Surveys
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Beyerlein, Kraig; Barwis, Peter; Crubaugh, Bryant; Carnesecca, Cole – Sociological Methods & Research, 2018
The National Study of Protest Events (NSPE) employed hypernetwork sampling to generate the first-ever nationally representative sample of protest events. Nearly complete information about various event characteristics was collected from participants in 1,037 unique protests across the United States in 2010 to 2011. The first part of this article…
Descriptors: Activism, National Surveys, Sampling, Comparative Analysis
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Grant, David; Setodji, Claude Messan; Hunter, Gerald P.; Diliberti, Melissa Kay – RAND Corporation, 2021
The American School District Panel (ASDP) is the newest addition to the RAND Corporation's American Educator Panels (AEP), which are designed to survey panels of educators several times each year. RAND recruits AEP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national…
Descriptors: School Districts, National Surveys, Teacher Attitudes, Principals
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Barratt, Monica J.; Ferris, Jason A.; Lenton, Simon – Field Methods, 2015
Online purposive samples have unknown biases and may not strictly be used to make inferences about wider populations, yet such inferences continue to occur. We compared the demographic and drug use characteristics of Australian ecstasy users from a probability (National Drug Strategy Household Survey, n = 726) and purposive sample (online survey…
Descriptors: Sampling, Validity, Drug Abuse, Probability
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
Brick, J. Michael; And Others – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics. The NHES is a telephone survey of the noninstitutionalized civilian population using households selected using random digit dialing methods. Approximately 60,000 households are screened for each administration, and people who…
Descriptors: Data Collection, National Surveys, Probability, Research Methodology
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Rogers, W. Todd; And Others – Journal of Educational Measurement, 1977
The bias attributable to nonresponse in population estimates in the field of education was studied. Data were collected from responses to mathematics and science exercises administered by the National Assessment of Educational Progress to a probability sample of 17-year olds, as well as a probability sample selected from nonrespondents.…
Descriptors: Attrition (Research Studies), Data Collection, High Schools, National Surveys
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
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Spencer, Bruce D.; Foran, Wendene – Journal of Educational Statistics, 1991
Surveys in which one can observe--after sample selection--that each sample member belongs to one or more aggregations are considered. A formula for the probability that a given aggregation contains at least one sample member is applied to eighth grade data from the National Educational Longitudinal Study of 1988 (NELS:88). (TJH)
Descriptors: Educational Assessment, Equations (Mathematics), Estimation (Mathematics), Grade 8
Ingels, Steven J.; Quinn, Peggy – 1996
The National Education Longitudinal Studies Program (NELS) is a long-term effort that encompasses the educational experience of youth from three decades. This report is based on the National Education Longitudinal Study of 1988 (NELS:88), a component of the NELS series that began as a national probability sample of eighth grade schools and…
Descriptors: Data Analysis, Educational Experience, Elementary Secondary Education, Eligibility
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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)
Folsom, Ralph E., Jr. – 1975
This memorandum demonstrates a variance components methodology for partitioning the overall design effect (D) for a ratio mean into stratification (S), unequal weighting (W), and clustering (C) effects, so that D = WSC. In section 2, a sample selection scheme modeled after the National Longitudinal Study of the High School Class of 1972 (NKS)…
Descriptors: Analysis of Variance, Cluster Analysis, Followup Studies, Graduate Surveys
Moore, R. Paul – 1975
The report traces the activities which led to the development of the adjusted weights--beginning with the basic National Longitudinal Study design, the base-year weight calculations, and the resurvey procedures. Next, the report describes the first follow-up weight calculations (including unadjusted student weights), nonresponse adjustment…
Descriptors: Attrition (Research Studies), Followup Studies, Graduate Surveys, High School Graduates