FIT FOR PURPOSE IN ACTION: DESIGN, IMPLEMENTATION, AND EVALUATION OF THE NATIONAL INTERNET FLU SURVEY [0.03%]
目标明确，方法得当：美国流感互联网调查的设计、实施和评估
Jill A Dever,Ashley Amaya,Anup Srivastav et al.
Jill A Dever et al.
Researchers strive to design and implement high-quality surveys to maximize the utility of the data collected. The definitions of quality and usefulness, however, vary from survey to survey and depend on the analytic needs. Survey teams mus...
On The Robustness Of Respondent-Driven Sampling Estimators To Measurement Error [0.03%]
关于测量误差对被访者驱动抽样估计量的影响
Ian E Fellows
Ian E Fellows
Respondent-driven sampling (RDS) is a popular method of conducting surveys in hard to reach populations where strong assumptions are required in order to make valid statistical inferences. In this paper we investigate the assumption that ne...
Building on a Sequential Mixed-Mode Research Design in the Monitoring the Future Study [0.03%]
在《监测未来》研究中采用连续混合模式研究设计的优点
Megan E Patrick,Mick P Couper,Bohyun Joy Jang et al.
Megan E Patrick et al.
Given the promise of the web push plus e-mail survey design for providing cost-effective and high-quality data (Patrick et al. 2018, 2019) as an alternative to a paper-and-pencil mailed survey design for the longitudinal Monitoring the Futu...
Sixia Chen,Shu Yang,Jae Kwang Kim
Sixia Chen
Data integration combining a probability sample with another nonprobability sample is an emerging area of research in survey sampling. We consider the case when the study variable of interest is measured only in the nonprobability sample, b...
Roger Tourangeau
Roger Tourangeau
Although most survey researchers agree that reliability is a critical requirement for survey data, there have not been many efforts to assess the reliability of responses in national surveys. In addition, there are quite different approache...
Roger Tourangeau,Hanyu Sun,Ting Yan
Roger Tourangeau
The usual method for assessing the reliability of survey data has been to conduct reinterviews a short interval (such as one to two weeks) after an initial interview and to use these data to estimate relatively simple statistics, such as gr...
Multiply Robust Bootstrap Variance Estimation in the Presence of Singly Imputed Survey Data [0.03%]
含单程插补抽样调查数据下的多强壮自助法方差估计方法研究
Sixia Chen,David Haziza,Zeinab Mashreghi
Sixia Chen
Item nonresponse in surveys is usually dealt with through single imputation. It is well known that treating the imputed values as if they were observed values may lead to serious underestimation of the variance of point estimators. In this ...
COMBINING INFORMATION FROM MULTIPLE DATA SOURCES TO ASSESS POPULATION HEALTH [0.03%]
综合利用多个数据源评估人群健康状况
Trivellore Raghunathan,Kaushik Ghosh,Allison Rosen et al.
Trivellore Raghunathan et al.
Information about an extensive set of health conditions on a well-defined sample of subjects is essential for assessing population health, gauging the impact of various policies, modeling costs, and studying health disparities. Unfortunatel...
An Experimental Evaluation of an Online Interview Scheduler: Effects on Fieldwork Outcomes [0.03%]
一种在线面试调度器的实验评估：对实地调研结果的影响
Katherine McGonagle,Narayan Sastry
Katherine McGonagle
In recent years, household surveys have expended significant effort to counter well-documented increases in direct refusals and greater difficulty contacting survey respondents. A substantial amount of fieldwork effort in panel surveys usin...
Sixia Chen,Alexander Stubblefield,Julie A Stoner
Sixia Chen
Previous studies have shown disparities in health conditions and behaviors among different ethnic groups. Sampling designs that do not consider oversampling certain minority populations, such as American Indians or African Americans, may no...