Exploring Mechanisms of Recruitment and Recruitment Cooperation in Respondent Driven Sampling [0.03%]
响应驱动抽样中招募机制和合作的探究
Sunghee Lee,Ai Rene Ong,Michael Elliott
Sunghee Lee
Respondent driven sampling (RDS) is a sampling method designed for hard-to-sample groups with strong social ties. RDS starts with a small number of arbitrarily selected participants ("seeds"). Seeds are issued recruitment coupons, which are...
The Joinpoint-Jump and Joinpoint-Comparability Ratio Model for Trend Analysis with Applications to Coding Changes in Health Statistics [0.03%]
应用于健康统计编码变化的趋势分析的连接点跳跃和连接点可比性比率模型
Huann-Sheng Chen,Sarah Zeichner,Robert N Anderson et al.
Huann-Sheng Chen et al.
Analysis of trends in health data collected over time can be affected by instantaneous changes in coding that cause sudden increases/decreases, or "jumps," in data. Despite these sudden changes, the underlying continuous trends can present ...
Asking about Sexual Identity on the National Health Interview Survey: Does Mode Matter? [0.03%]
全国健康访谈调查中的性取向问题：面对面与网上自填模式哪个更好？
James M Dahlhamer,Adena M Galinsky,Sarah S Joestl
James M Dahlhamer
Privacy, achieved through self-administered modes of interviewing, has long been assumed to be a necessary prerequisite for obtaining unbiased responses to sexual identity questions due to their potentially sensitive nature. This study uses...
Issues in survey measurement of chronic disability: An example of the National Long Term Care Survey [0.03%]
关于国立长期护理调查中慢性残疾调查量表的问题
Elena A Erosheva,Toby A White
Elena A Erosheva
The National Long Term Care Survey, a longitudinal study that consisted of the screen and detailed interviews, provides a unique opportunity to illustrate issues in survey measurement of chronic disability. The original intent of the survey...
A Note on the Effect of Data Clustering on the Multiple-Imputation Variance Estimator: A Theoretical Addendum to , JOS [0.03%]
关于数据聚类对多重插补方差估计量影响的注记：附录
Yulei He,Iris Shimizu,Susan Schappert et al.
Yulei He et al.
Multiple imputation is a popular approach to handling missing data. Although it was originally motivated by survey nonresponse problems, it has been readily applied to other data settings. However, its general behavior still remains unclear...
Xi Xia,Michael R Elliott
Xi Xia
When analyzing data sampled with unequal inclusion probabilities, correlations between the probability of selection and the sampled data can induce bias if the inclusion probabilities are ignored in the analysis. Weights equal to the invers...
Hanzhi Zhou,Michael R Elliott,Trivellore E Raghunathan
Hanzhi Zhou
Multiple imputation (MI) is commonly used when item-level missing data are present. However, MI requires that survey design information be built into the imputation models. For multistage stratified clustered designs, this requires dummy va...
Letter to the Editor: Probabilistic population forecasts for informed decision making [0.03%]
读者来信：概率人口预测助力决策制定
Jakub Bijak,Isabel Alberts,Juha Alho et al.
Jakub Bijak et al.
Demographic forecasts are inherently uncertain. Nevertheless, an appropriate description of this uncertainty is a key underpinning of informed decision making. In recent decades various methods have been developed to describe the uncertaint...
The Effects of a Between-Wave Incentive Experiment on Contact Update and Production Outcomes in a Panel Study [0.03%]
面板研究中阶段性激励实验对样本更新和访问结果的影响
Katherine A McGonagle,Robert F Schoeni,Mick P Couper
Katherine A McGonagle
Since 1969, families participating in the U.S. Panel Study of Income Dynamics (PSID) have been sent a mailing asking them to update or verify their contact information in order to keep track of their whereabouts between waves. Having update...
William G Axinn,Dirgha Ghimire,Nathalie E Williams
William G Axinn
Surveys provide crucial information about the social consequences of armed conflict, but armed conflict can shape surveys in ways that limit their value. We use longitudinal survey data from throughout the recent armed conflict in Nepal to ...