Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis Versus Literature Review [0.03%]
基于历史数据而非文献回顾的贝叶斯响应倾向预测的先验分布的确定：以适应性设计为例
Brady T West,James Wagner,Stephanie Coffey et al.
Brady T West et al.
Responsive survey design (RSD) aims to increase the efficiency of survey data collection via live monitoring of paradata and the introduction of protocol changes when survey errors and increased costs seem imminent. Daily predictions of res...
Tools for Selecting Working Correlation Structures When Using Weighted GEE to Model Longitudinal Survey Data [0.03%]
加权广义估计方程建模纵向调查数据时选择工作相合结构的工具
Philip M Westgate,Brady T West
Philip M Westgate
Weighted generalized estimating equations (GEE) are popular for the marginal analysis of longitudinal survey data. This popularity is due to the ability of these estimating equations to provide consistent regression parameter estimates and ...
An Experimental Evaluation of Two Approaches for Improving Response to Household Screening Efforts in National Mail/Web Surveys [0.03%]
全国邮件/网络调查中提高家庭筛查效果的两种方法的实验评估
James Wagner,Brady T West,Mick P Couper et al.
James Wagner et al.
Survey researchers have carefully modified their data collection operations for various reasons, including the rising costs of data collection and the ongoing Coronavirus disease (COVID-19) pandemic, both of which have made in-person interv...
Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics [0.03%]
大数据环境下的多重插补及其在收入动态调查数据中的应用
Yajuan Si,Steve Heeringa,David Johnson et al.
Yajuan Si et al.
Multiple imputation (MI) is a popular and well-established method for handling missing data in multivariate data sets, but its practicality for use in massive and complex data sets has been questioned. One such data set is the Panel Study o...
Using Capture-Recapture Methodology to Enhance Precision of Representative Sampling-Based Case Count Estimates [0.03%]
使用捕获-再捕获方法提高基于代表性采样的病例数估计的精确度
Robert H Lyles,Yuzi Zhang,Lin Ge et al.
Robert H Lyles et al.
The application of serial principled sampling designs for diagnostic testing is often viewed as an ideal approach to monitoring prevalence and case counts of infectious or chronic diseases. Considering logistics and the need for timeliness ...
A Simple Question Goes a Long Way: A Wording Experiment on Bank Account Ownership [0.03%]
一个简单的问题效果显著：关于银行账户所有权措辞的实验
Marco Angrisani,Mick P Couper
Marco Angrisani
Ownership of a bank account is an objective measure and should be relatively easy to elicit via survey questions. Yet, depending on the interview mode, the wording of the question and its placement within the survey may influence respondent...
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...