Target estimation and adjustment weighting for survey nonresponse and sampling bias
著者
書誌事項
Target estimation and adjustment weighting for survey nonresponse and sampling bias
（Cambridge elements, . Elements in quantitative and computational methods for the social sciences / edited by R. Michael Alvarez,
Cambridge University Press, 2020
- : pbk
大学図書館所蔵 全3件
注記
Includes bibliographical references (p. [80]-87)
内容説明・目次
内容説明
We elaborate a general workflow of weighting-based survey inference, decomposing it into two main tasks. The first is the estimation of population targets from one or more sources of auxiliary information. The second is the construction of weights that calibrate the survey sample to the population targets. We emphasize that these tasks are predicated on models of the measurement, sampling, and nonresponse process whose assumptions cannot be fully tested. After describing this workflow in abstract terms, we then describe in detail how it can be applied to the analysis of historical and contemporary opinion polls. We also discuss extensions of the basic workflow, particularly inference for causal quantities and multilevel regression and poststratification.
目次
- 1. The Problem of Unrepresentative Survey Samples
- 2. Weight Estimation
- 3. Target Estimation
- 4. Application to Contemporary Election Surveys
- 5. Application to Quota-sampled Opinion Polls
- 6. Extensions and Conclusion.
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