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The US National Comorbidity Survey Replication (NCS-R): design and field procedures

dc.contributor.authorKessler, Ronald C.en_US
dc.contributor.authorBerglund, Patricia A.en_US
dc.contributor.authorChiu, Wai Taten_US
dc.contributor.authorDemler, Olgaen_US
dc.contributor.authorHeeringa, Steven G.en_US
dc.contributor.authorHiripi, Evaen_US
dc.contributor.authorJin, Roberten_US
dc.contributor.authorPennell, Beth-Ellenen_US
dc.contributor.authorWalters, Ellen E.en_US
dc.contributor.authorZaslavsky, Alan M.en_US
dc.contributor.authorZheng, Huien_US
dc.date.accessioned2006-04-18T20:52:37Z
dc.date.available2006-04-18T20:52:37Z
dc.date.issued2004-06en_US
dc.identifier.citationKessler, Ronald C.; Berglund, Patricia; Chiu, Wai Tat; Demler, Olga; Heeringa, Steven; Hiripi, Eva; Jin, Robert; Pennell, Beth-Ellen; Walters, Ellen E.; Zaslavsky, Alan; Zheng, Hui (2004)."The US National Comorbidity Survey Replication (NCS-R): design and field procedures." International Journal of Methods in Psychiatric Research 13(2): 69-92. <http://hdl.handle.net/2027.42/34222>en_US
dc.identifier.issn1049-8931en_US
dc.identifier.issn1234-988Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34222
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15297905&dopt=citationen_US
dc.description.abstractThe National Comorbidity Survey Replication (NCS-R) is a survey of the prevalence and correlates of mental disorders in the US that was carried out between February 2001 and April 2003. Interviews were administered face-to-face in the homes of respondents, who were selected from a nationally representative multi-stage clustered area probability sample of households. A total of 9,282 interviews were completed in the main survey and an additional 554 short non-response interviews were completed with initial non-respondents. This paper describes the main features of the NCS-R design and field procedures, including information on fieldwork organization and procedures, sample design, weighting and considerations in the use of design-based versus model-based estimation. Empirical information is presented on non-response bias, design effect, and the trade-off between bias and efficiency in minimizing total mean-squared error of estimates by trimming weights. Copyright © 2004 Whurr Publishers Ltd.en_US
dc.format.extent314870 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherLife and Medical Sciencesen_US
dc.titleThe US National Comorbidity Survey Replication (NCS-R): design and field proceduresen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPsychiatryen_US
dc.subject.hlbsecondlevelPsychiatryen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInstitute for Social Research, University of Michigan, Ann Arbor MI, USAen_US
dc.contributor.affiliationumInstitute for Social Research, University of Michigan, Ann Arbor MI, USAen_US
dc.contributor.affiliationumInstitute for Social Research, University of Michigan, Ann Arbor MI, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USA ; Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston MA, USA 02115.en_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.contributor.affiliationotherDepartment of Health Care Policy, Harvard Medical School, Boston MA, USAen_US
dc.identifier.pmid15297905en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34222/1/167_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/mpr.167en_US
dc.identifier.sourceInternational Journal of Methods in Psychiatric Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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