Use of Design Effects and Sample Weights in Complex Health Survey Data: A Review of Published Articles Using Data From 3 Commonly Used Adolescent Health Surveys.
Objectives. We assessed how frequently researchers reported the use of statistical techniques that take into account the complex sampling structure of survey data and sample weights in published peer-reviewed articles using data from 3 commonly used adolescent health surveys. Methods. We performed a...
| Publicado en: | American Journal of Public Health Vol. 102; no. 7; pp. 1399 - 1406 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
American Public Health Association
Jul2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=104471643&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 104471643 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00900036 APH jtl: American Journal of Public Health issn: 00900036 maglogo: N pubinfo: dt: Jul2012 vid: 102 iid: 7 pid: 44 pub: American Public Health Association artinfo: ui: 104471643 10.2105/AJPH.2011.300398 ppf: 1399 ppct: 7 formats: tig: atl: Use of Design Effects and Sample Weights in Complex Health Survey Data: A Review of Published Articles Using Data From 3 Commonly Used Adolescent Health Surveys. aug: au: Bell, Bethany A. Onwuegbuzie, Anthony J. Ferron, John M. Jiao, Qun G. Hibbard, Susan T. Kromrey, Jeffrey D. su: Analysis of variance Authorship Professional peer review Publishing Adolescent health Secondary analysis Statistics methodology ERIC (Information retrieval system) Experimental design Psychology information storage & retrieval systems MEDLINE Online information services Statistical sampling Surveys Evidence-based medicine Professional practice Research bias sug: subj: Analysis of variance Authorship Professional peer review Publishing Adolescent health All Other Publishers Book Publishers Other publishers Marketing Research and Public Opinion Polling Secondary analysis Statistics methodology ERIC (Information retrieval system) Experimental design Psychology information storage & retrieval systems MEDLINE Online information services Statistical sampling Surveys Evidence-based medicine Professional practice Research bias ab: Objectives. We assessed how frequently researchers reported the use of statistical techniques that take into account the complex sampling structure of survey data and sample weights in published peer-reviewed articles using data from 3 commonly used adolescent health surveys. Methods. We performed a systematic review of 1003 published empirical research articles from 1995 to 2010 that used data from the National Longitudinal Study of Adolescent Health (n=765), Monitoring the Future (n=146), or Youth Risk Behavior Surveillance System (n=92) indexed in ERIC, PsycINFO, PubMed, and Web of Science. Results. Across the data sources, 60% of articles reported accounting for design effects and 61% reported using sample weights. However, the frequency and clarity of reporting varied across databases, publication year, author affiliation with the data, and journal. Conclusions. Given the statistical bias that occurs when design effects of complex data are not incorporated or sample weights are omitted, this study calls for improvement in the dissemination of research findings based on complex sample data. Authors, editors, and reviewers need to work together to improve the transparency of published findings using complex sample data. pubtype: Academic Journal doctype: Journal Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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