Using Imputation Techniques to Evaluate Stopping Rules in Adaptive Survey Designs

Using Imputation Techniques to Evaluate Stopping Rules in Adaptive Survey Designs
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Total Pages : 35
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ISBN-10 : OCLC:1306923069
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Book Synopsis Using Imputation Techniques to Evaluate Stopping Rules in Adaptive Survey Designs by : Thais Paiva

Download or read book Using Imputation Techniques to Evaluate Stopping Rules in Adaptive Survey Designs written by Thais Paiva and published by . This book was released on 2015 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Design methods for social surveys utilize the information from the data as it is collected to make decisions about the sampling design. In some cases, the decision is either to continue or stop the data collection. We evaluate this decision by proposing measures to compare the collected data with follow-up samples. The options are assessed by imputation of the nonrespondents under different missingness scenarios, including Missing Not at Random. The variation in the utility measures is compared to the cost induced by the follow-up sample sizes. We apply the proposed method to the 2007 U.S. Census of Manufacturers.


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