Journal ArticleDOI
Household Surveys with Multiplicity
TLDR
In the household survey with multiplicity, sample households report information about their own residents as well as about other persons who live elsewhere, such as relatives or neighbors, as specified by a multiplicity rule adopted in the survey as discussed by the authors.Abstract:
In the household survey with multiplicity, sample households report information about their own residents as well as about other persons who live elsewhere, such as relatives or neighbors, as specified by a multiplicity rule adopted in the survey. Although sampling errors for the multiplicity survey are not necessarily smaller than those for the conventional survey in which sample households report for their own residents only, in most instances it should be feasible to assure a substantial reduction in sampling error by selecting appropriate multiplicity rules. Using alternative statistical models, it is demonstrated that under specified conditions, sampling errors for the multiplicity survey are necessarily smaller than those for the conventional survey, and the results give insight regarding the factors contributing to the efficiency of the multiplicity survey.read more
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Journal ArticleDOI
Inference for Nonprobability Samples
TL;DR: This work discusses the pros and cons of superpopulation modeling for the analytic variables collected on the sample units in which the model is used to predict values for the nonsample units and quasi-randomization for nonprobability samples.
Journal ArticleDOI
New developments in the sampling of special populations
Seymour Sudman,Graham Kalton +1 more
TL;DR: In this article, the authors discuss the use of single or multiple lists, even when incomplete, along with supplementary measures using telephone and mail techniques, for careful sampling of special populations.
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Estimation On the Basis of Snowball Samples: How To Weight?
TL;DR: In this paper, a critical review of the possibilities of snowball sampling for a population of vertices connected by a network of arcs is presented, and it is argued that the snowball method is much more suitable for the estimation of parameters of the network structure (or parameters of nodes of the population of arcs) than to estimate parameters of node counts.
Journal ArticleDOI
Network Sampling: From Snowball and Multiplicity to Respondent-Driven Sampling
TL;DR: The first form of network sampling, multiplicity sampling, involved asking respondents about events affecting those in their personal networks; it was subsequently applied to studies of homicide, HIV, and other topics, but its usefulness is limited to public events as discussed by the authors.
Journal ArticleDOI
Who benefits from network analysis: ethics of social network research
TL;DR: Proper handling of the data and the analysis, including complete control by the investigator can virtually eliminate harm to respondents and those they nominate, though perhaps not to the satisfaction of IRBs.