{"title":"基于自治地址的抽样研究中的“e”计算","authors":"J. DeMatteis","doi":"10.29115/SP-2019-0002","DOIUrl":null,"url":null,"abstract":"In recent years, address-based sampling (ABS) has become a widely used approach for obtaining samples for household surveys in the United States. In computing response rates for self-administered ABS studies, one challenge is in estimating the eligibility rate of sampled cases with unknown eligibility, denoted e in American Association for Public Opinion Research response rate calculations RR3 and RR4. The assumptions underlying standard approaches for estimating e are unlikely to hold in self-administered ABS studies. This note describes an approach for estimating e in such situations.","PeriodicalId":74893,"journal":{"name":"Survey practice","volume":"35 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computing “e” in Self-Administered Address-Based Sampling Studies\",\"authors\":\"J. DeMatteis\",\"doi\":\"10.29115/SP-2019-0002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, address-based sampling (ABS) has become a widely used approach for obtaining samples for household surveys in the United States. In computing response rates for self-administered ABS studies, one challenge is in estimating the eligibility rate of sampled cases with unknown eligibility, denoted e in American Association for Public Opinion Research response rate calculations RR3 and RR4. The assumptions underlying standard approaches for estimating e are unlikely to hold in self-administered ABS studies. This note describes an approach for estimating e in such situations.\",\"PeriodicalId\":74893,\"journal\":{\"name\":\"Survey practice\",\"volume\":\"35 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Survey practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29115/SP-2019-0002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Survey practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29115/SP-2019-0002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computing “e” in Self-Administered Address-Based Sampling Studies
In recent years, address-based sampling (ABS) has become a widely used approach for obtaining samples for household surveys in the United States. In computing response rates for self-administered ABS studies, one challenge is in estimating the eligibility rate of sampled cases with unknown eligibility, denoted e in American Association for Public Opinion Research response rate calculations RR3 and RR4. The assumptions underlying standard approaches for estimating e are unlikely to hold in self-administered ABS studies. This note describes an approach for estimating e in such situations.