{"title":"使用人口普查规划数据库生成自我管理邮件调查的差异预期收益率","authors":"Taylor Lewis, Joseph McMichael","doi":"10.1177/1525822X221074764","DOIUrl":null,"url":null,"abstract":"Expected yield rates are essential to a survey’s data collection plan, as they inform requisite sample sizes to meet the survey’s objectives. Given an overall expected yield rate for a self-administered mail survey, this short take describes a simple method for using the Census Planning Database to assign differential yield rates to lower-level geographies within the study area.","PeriodicalId":48060,"journal":{"name":"Field Methods","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using the Census Planning Database to Generate Differential Expected Yield Rates to Self-administered Mail Surveys\",\"authors\":\"Taylor Lewis, Joseph McMichael\",\"doi\":\"10.1177/1525822X221074764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expected yield rates are essential to a survey’s data collection plan, as they inform requisite sample sizes to meet the survey’s objectives. Given an overall expected yield rate for a self-administered mail survey, this short take describes a simple method for using the Census Planning Database to assign differential yield rates to lower-level geographies within the study area.\",\"PeriodicalId\":48060,\"journal\":{\"name\":\"Field Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Field Methods\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/1525822X221074764\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Field Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/1525822X221074764","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
Using the Census Planning Database to Generate Differential Expected Yield Rates to Self-administered Mail Surveys
Expected yield rates are essential to a survey’s data collection plan, as they inform requisite sample sizes to meet the survey’s objectives. Given an overall expected yield rate for a self-administered mail survey, this short take describes a simple method for using the Census Planning Database to assign differential yield rates to lower-level geographies within the study area.
期刊介绍:
Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.