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Julian Schuessler; Peter Selb – Sociological Methods & Research, 2025
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…
Descriptors: Data Collection, Graphs, Error of Measurement, Statistical Bias
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Shiyu Zhang; James Wagner – Sociological Methods & Research, 2024
Adaptive survey design refers to using targeted procedures to recruit different sampled cases. This technique strives to reduce bias and variance of survey estimates by trying to recruit a larger and more balanced set of respondents. However, it is not well understood how adaptive design can improve data and survey estimates beyond the…
Descriptors: Surveys, Research Design, Response Rates (Questionnaires), Demography
Barreca, Alan I.; Lindo, Jason M.; Waddell, Glen R. – National Bureau of Economic Research, 2011
This study uses Monte Carlo simulations to demonstrate that regression-discontinuity designs arrive at biased estimates when attributes related to outcomes predict heaping in the running variable. After showing that our usual diagnostics are poorly suited to identifying this type of problem, we provide alternatives. We also demonstrate how the…
Descriptors: Statistical Bias, Regression (Statistics), Research Design, Monte Carlo Methods
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Puhan, Gautam; Moses, Tim; Grant, Mary; McHale, Fred – ETS Research Report Series, 2008
A single group (SG) equating design with nearly equivalent test forms (SiGNET) design was developed by Grant (2006) to equate small volume tests. The basis of this design is that examinees take two largely overlapping test forms within a single administration. The scored items for the operational form are divided into mini-tests called testlets.…
Descriptors: Data Collection, Equated Scores, Item Sampling, Sample Size
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Oranje, Andreas; Freund, David; Lin, Mei-jang; Tang, Yuxin – ETS Research Report Series, 2007
In this paper, a data perturbation method for minimizing the possibility of disclosure of participants' identities on a survey is described in the context of the National Assessment of Educational Progress (NAEP). The method distinguishes itself from most approaches because of the presence of cognitive tasks. Hence, a data edit should have minimal…
Descriptors: Student Surveys, Risk, National Competency Tests, Data Analysis
Brick, Mike; Kim, Kwang; Nolin, Mary Jo; Collins, Mary – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics (NCES) designed to address a wide range of education-related issues. It is a telephone survey of the noninstitutionalized civilian population. In 1995, the NHES included a survey of adult education (AE). This report deals with…
Descriptors: Adult Education, Data Collection, Error of Measurement, Interviews
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Castle, Nicholas G. – Gerontologist, 2006
Purpose: In this study the levels of staff turnover reported in the nursing home literature (1990-2003) are reviewed, as well as the definitions of turnover used in these prior studies. With the use of primary data collected from 354 facilities, the study addresses the various degrees of bias that result, depending on how staff turnover is defined…
Descriptors: Nursing Homes, Health Services, Error of Measurement, Data Collection
Brick, J. Michael; Wernimont, Jacque; Montes, Maida – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics (NCES) designed to address a wide range of education-related issues. It is a telephone survey of the noninstitutionalized civilian population. In 1995, the NHES included a survey of adult education (AE). This report examines…
Descriptors: Adult Education, Data Collection, Elementary Secondary Education, Error of Measurement
Mohadjer, Leyla; And Others – 1992
The National Household Education Survey (NHES) was conducted for the first time in 1991 as a way to collect data on the early childhood education experiences of young children and participation in adult education. Because the NHES methodology is relatively new, field tests were necessary. A large field test of approximately 15,000 households was…
Descriptors: Adolescents, Adult Education, Data Collection, Dropout Research
Congress of the U. S., Washington, DC. House Committee on Government Operations. – 1986
The Bureau of Labor Statistics (BLS) publishes the official unemployment rate on the first Friday of each month based on a sample survey of 59,500 households called the Current Population Survey. Unemployment data for states and local areas are published monthly by the BLS in cooperation with the state employment security agencies. The primary…
Descriptors: Data Collection, Data Interpretation, Dislocated Workers, Employment Patterns
Wolfle, Lee M. – 1979
Structural equation models incorporating unmeasured variables make possible the rigorous testing of theories previously difficult to test adequately because of fallible measures of the theoretic variables. This paper first discusses a simple causal model; incorporating a single unmeasured variable for the purpose of exposition. A substantive…
Descriptors: Academic Achievement, Computer Programs, Critical Path Method, Cultural Differences
Kingston, Neal M.; Holland, Paul W. – 1986
This study addresses the test-disclosure-related need for more Graduate Record Examinations (GRE) General Test editions in a situation where the number of examinees is stable or declining. Equating is used to guarantee that examinees of different test editions are treated equitably. The data collection designs used in this study were: (1)…
Descriptors: College Entrance Examinations, Data Collection, Equated Scores, Error of Measurement