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Selection Bias in Nonprobability Surveys: A Causal Inference Approach
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Mercer, Andrew William. |
| 단체저자명 | University of Maryland, College Park. Survey Methodology. |
| 서명/저자사항 | Selection Bias in Nonprobability Surveys: A Causal Inference Approach. |
| 발행사항 | [S.l.] : University of Maryland, College Park., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 153 p. |
| 소장본 주기 | School code: 0117. |
| ISBN | 9780438154216 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Frauke Kreuter. |
| 요약 | Many in the survey research community have expressed concern at the growing popularity of nonprobability surveys. The absence of random selection prompts justified concerns about self-selection producing biased results and means that traditional |
| 요약 | This dissertation proposes an alternative classification for sources of selection bias for nonprobability surveys based on principles borrowed from the field of causal inference. The proposed typology describes selection bias in terms of the thr |
| 요약 | Next, we show how net selection bias can be decomposed into separate additive components associated with exchangeability, positivity, and composition respectively. Using 10 parallel nonprobability surveys from different sources, we estimate thes |
| 요약 | Finally, using the same six measures of civic engagement, we compare the performance of four approaches to nonprobability estimation based on Bayesian additive regression trees. These are propensity weighting (PW), outcome regression (OR), and t |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997618 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00027348 | 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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