{"title":"手机样本的地理不准确性","authors":"Stephanie Marken, M. Chattopadhyay, A. Cahn","doi":"10.29115/SP-2018-0037","DOIUrl":null,"url":null,"abstract":"The geographic accuracy provided in cellphone samples has been an issue of particular concern for telephone surveys. Surveyors use this information for geographic sample stratification and analysis; however, the location generated using random digit dialing (RDD) methods is typically the rate center in which the phone was activated and not the owner’s current residence. Researchers have found the location is fairly accurate at the regional (census region) level. However, the error rate increases when moving to the state and local levels. Cellphone error rates are higher among ‘cell-only’ (cellphone users who do not have a landline telephone) respondents than for ‘dual-users’ (cellphone users who have a cellphone and landline telephone). Among respondents sampled from the landline frame, the error rate (difference between location on the sample file and current location of residence) is smaller. Past research estimates the state error rate is about 1% for a landline sample and 12% for the ‘cell-only’ group (Skalland and Khare 2013). This paper builds upon previous research by providing state level estimates of inaccuracy for both ‘cell-only’ and ‘dual-users.’ It also examines the trend of state-level inaccuracy estimates over 18 months using data from the Gallup Daily Tracking survey. Finally, we examine the characteristics of ‘cell-only’ and ‘dual-users’ and implications of geographic inaccuracy of cellphone samples on the state level dual-frame RDD estimates.","PeriodicalId":74893,"journal":{"name":"Survey practice","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geographic Inaccuracy of Cellphone Samples\",\"authors\":\"Stephanie Marken, M. Chattopadhyay, A. Cahn\",\"doi\":\"10.29115/SP-2018-0037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The geographic accuracy provided in cellphone samples has been an issue of particular concern for telephone surveys. Surveyors use this information for geographic sample stratification and analysis; however, the location generated using random digit dialing (RDD) methods is typically the rate center in which the phone was activated and not the owner’s current residence. Researchers have found the location is fairly accurate at the regional (census region) level. However, the error rate increases when moving to the state and local levels. Cellphone error rates are higher among ‘cell-only’ (cellphone users who do not have a landline telephone) respondents than for ‘dual-users’ (cellphone users who have a cellphone and landline telephone). Among respondents sampled from the landline frame, the error rate (difference between location on the sample file and current location of residence) is smaller. Past research estimates the state error rate is about 1% for a landline sample and 12% for the ‘cell-only’ group (Skalland and Khare 2013). This paper builds upon previous research by providing state level estimates of inaccuracy for both ‘cell-only’ and ‘dual-users.’ It also examines the trend of state-level inaccuracy estimates over 18 months using data from the Gallup Daily Tracking survey. Finally, we examine the characteristics of ‘cell-only’ and ‘dual-users’ and implications of geographic inaccuracy of cellphone samples on the state level dual-frame RDD estimates.\",\"PeriodicalId\":74893,\"journal\":{\"name\":\"Survey practice\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-03\",\"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-2018-0037\",\"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-2018-0037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
手机样本提供的地理准确性一直是电话调查特别关注的问题。调查者使用这些信息进行地理样本分层和分析;但是,使用随机数字拨号(RDD)方法生成的位置通常是激活电话的速率中心,而不是所有者的当前住所。研究人员发现,在地区(人口普查地区)水平上,这个位置是相当准确的。然而,当移动到州和地方级别时,错误率会增加。“只使用手机”(没有固定电话的手机用户)的受访者的手机错误率高于“双重用户”(既有手机又有固定电话的手机用户)。在从固定电话框架中抽样的受访者中,错误率(样本文件上的位置与当前居住地之间的差异)较小。过去的研究估计,固定电话样本的州错误率约为1%,“纯手机”组的州错误率约为12% (Skalland and Khare 2013)。本文建立在以前的研究基础上,提供了对“仅限蜂窝”和“双重用户”的不准确性的州级估计。它还使用盖洛普每日追踪调查(Gallup Daily Tracking survey)的数据,研究了过去18个月里各州估算不准确的趋势。最后,我们研究了“单蜂窝”和“双用户”的特征,以及手机样本的地理不准确性对州一级双帧RDD估计的影响。
The geographic accuracy provided in cellphone samples has been an issue of particular concern for telephone surveys. Surveyors use this information for geographic sample stratification and analysis; however, the location generated using random digit dialing (RDD) methods is typically the rate center in which the phone was activated and not the owner’s current residence. Researchers have found the location is fairly accurate at the regional (census region) level. However, the error rate increases when moving to the state and local levels. Cellphone error rates are higher among ‘cell-only’ (cellphone users who do not have a landline telephone) respondents than for ‘dual-users’ (cellphone users who have a cellphone and landline telephone). Among respondents sampled from the landline frame, the error rate (difference between location on the sample file and current location of residence) is smaller. Past research estimates the state error rate is about 1% for a landline sample and 12% for the ‘cell-only’ group (Skalland and Khare 2013). This paper builds upon previous research by providing state level estimates of inaccuracy for both ‘cell-only’ and ‘dual-users.’ It also examines the trend of state-level inaccuracy estimates over 18 months using data from the Gallup Daily Tracking survey. Finally, we examine the characteristics of ‘cell-only’ and ‘dual-users’ and implications of geographic inaccuracy of cellphone samples on the state level dual-frame RDD estimates.