Estimation tools for reducing the impact of sampling and nonresponse errors in dual-frame RDD telephone surveys.
We discuss alternative estimators of the population total given a dual-frame random-digit-dial (RDD) telephone survey in which samples are selected from landline and cell phone sampling frames. The estimators are subject to sampling and nonsampling errors. To reduce sampling variability when an opti...
| Publicado en: | Statistics in Medicine Vol. 38; no. 23; pp. 4718 - 4733 |
|---|---|
| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
10/15/2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138540052&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138540052 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02776715 2DZ jtl: Statistics in Medicine issn: 02776715 maglogo: Y pubinfo: dt: 10/15/2019 vid: 38 iid: 23 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 138540052 138540052 NLM31418889 138540052 10.1002/sim.8329 NLM31418889 138540052 ppf: 4718 ppct: 15 formats: tig: atl: Estimation tools for reducing the impact of sampling and nonresponse errors in dual-frame RDD telephone surveys. aug: au: Wolter, Kirk M. Ganesh, N. Copeland, Kennon R. Singleton, James A. Khare, Meena affil: NORC at the University of Chicago, Chicago Illinois sug: subj: Immunization Statistics and Numerical Data Telephone Surveys Study Design Female Probability Sample Male United States Infant Human Child, Preschool Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Female Male ab: We discuss alternative estimators of the population total given a dual-frame random-digit-dial (RDD) telephone survey in which samples are selected from landline and cell phone sampling frames. The estimators are subject to sampling and nonsampling errors. To reduce sampling variability when an optimum balance of landline and cell phone samples is not feasible, we develop an application of shrinkage estimation. We demonstrate the implications for survey weighting of a differential nonresponse mechanism by telephone status. We illustrate these ideas using data from the National Immunization Survey-Child, a large dual-frame RDD telephone survey sponsored by the Centers for Disease Control and Prevention and conducted to measure the vaccination status of American children aged 19 to 35 months. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|