Exploring nonresponse bias in a health survey using neighborhood characteristics.
OBJECTIVES: We examined potential nonresponse bias in a large-scale, population-based, random-digit-dialed telephone survey in California and its association with the response rate. METHODS: We used California Health Interview Survey (CHIS) data and US Census data and linked the two data sets at the...
| Publicado en: | American Journal of Public Health Vol. 99; no. 10; pp. 1811 - 1818 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
American Public Health Association
Oct2009
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| 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=105270605&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105270605 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Oct2009 vid: 99 iid: 10 pid: 44 pub: American Public Health Association place: Washington, District of Columbia artinfo: ui: 105270605 47409804 2010502876 10.2105/AJPH.2008.154161 NLM19696379 105270605 ppf: 1811 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Exploring nonresponse bias in a health survey using neighborhood characteristics. aug: au: Lee S Brown ER Grant D Belin TR Brick JM affil: UCLA Center for Health Policy Research, University of California-Los Angeles, 10960 Wilshire Blvd., Los Angeles, CA 90024, USA. slee9@ucla.edu sug: subj: Bias (Research) Epidemiology Methods Residence Characteristics Surveys Telephone Adolescence Aged California Child Child, Preschool Data Collection Female Funding Source Human Infant Infant, Newborn Male Adolescent: 13-18 years Aged: 65+ years Child: 6-12 years Child, Preschool: 2-5 years Infant: 1-23 months Infant, Newborn: birth-1 month Female Male ab: OBJECTIVES: We examined potential nonresponse bias in a large-scale, population-based, random-digit-dialed telephone survey in California and its association with the response rate. METHODS: We used California Health Interview Survey (CHIS) data and US Census data and linked the two data sets at the census tract level. We compared a broad range of neighborhood characteristics of respondents and nonrespondents to CHIS. We projected individual-level nonresponse bias using the neighborhood characteristics. RESULTS: We found little to no substantial difference in neighborhood characteristics between respondents and nonrespondents. The response propensity of the CHIS sample was similarly distributed across these characteristics. The projected nonresponse bias appeared very small. CONCLUSIONS: The response rate in CHIS did not result in significant nonresponse bias and did not substantially affect the level of data representativeness, and it is not valid to focus on response rates alone in determining the quality of survey data. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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