2018
DOI: 10.1007/978-3-319-93632-1
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Practical Tools for Designing and Weighting Survey Samples

Abstract: Preface xi that gives more nearly complete coverage of the group but requires extensive screening to reach member of the rare group.At this writing, we have collectively been in survey research for more years than we care to count (or divulge). This field has provided interesting puzzles to solve, new perspectives on the substantive research within various studies, and an ever growing network of enthusiastic collaborators of all flavors. Regardless of how you plan to use the book, we hope that you find the mat… Show more

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Cited by 119 publications
(109 citation statements)
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“…Therefore, we adjust the sampling weights using post-stratification to improve the representativeness of our sample 12 . Post-stratification is commonly used in sample surveys with the goal of helping to reduce the bias and variance of estimates; readers who are interested in learning more about post-stratification can consult standard survey research texts (e.g., Särndal and Lundström 2005;Lumley 2011;Valliant et al 2013). We provide a conceptual overview of how we used post-stratification here.…”
Section: Weighting and Post-stratificationmentioning
confidence: 99%
“…Therefore, we adjust the sampling weights using post-stratification to improve the representativeness of our sample 12 . Post-stratification is commonly used in sample surveys with the goal of helping to reduce the bias and variance of estimates; readers who are interested in learning more about post-stratification can consult standard survey research texts (e.g., Särndal and Lundström 2005;Lumley 2011;Valliant et al 2013). We provide a conceptual overview of how we used post-stratification here.…”
Section: Weighting and Post-stratificationmentioning
confidence: 99%
“…Constructing a sample is, in most ways, not much different in a mobile phone survey relative to other surveys, and many of the same resources are useful. Readers who would like to explore in greater depth the issues discussed in this chapter might consult, for example, Survey Sampling (Kish 1965), Methodology of Longitudinal Surveys (Lynn 2009), and Practical Tools for Designing and Weighting Samples (Valliant, Dever, and Kreuter 2013).…”
Section: Introductionmentioning
confidence: 99%
“…In order to calculate the effective sample size when considering other type of sampling schemes than the simple random sampling has been extensively studied. Several authors have studied how to adjust the sample size calculation according to the type of design used (Kish, 1965(Kish, , 1990(Kish, , 1992Spencer, 2000;Valliant et al, 2013Valliant et al, , 2015. For the calculation of the effective sample size (n eff ), we have used the proposed approached by Gabler et al (1999) in which the actual sample size is divided by the design effect (d eff ).…”
Section: Modelled Btv Serological and Infection Prevalencementioning
confidence: 99%
“…According to the above-mentioned surveillance scheme, data about sampling of herds in each d epartement and the number of animals sampled in each herd were obtained for 33 French d epartements, where there is sentinel surveillance. These data were used to explore the achievable design prevalence with 95% confidence interval according to Valliant et al (2013). A curve was drawn for the worst-and best-case scenario at NUTS 3 level (corresponding to the French d epartement) considering the amount of farms and animal sampled within a farm in each d epartement (Figures 13-14) and for the scenario at national level ( Figure 15).…”
Section: Surveillance In the Period 2015-2016mentioning
confidence: 99%