Sampling design for the World Health Survey in Brazil

Detalhes bibliográficos
Autor(a) principal: Vasconcellos, Mauricio Teixeira Leite de
Data de Publicação: 2005
Outros Autores: Silva, Pedro Luis do Nascimento, Szwarcwald, Célia Landmann
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679
Resumo: This paper describes the sample design used in the Brazilian application of the World Health Survey. The sample was selected in three stages. First, the census tracts were allocated in six strata defined by their urban/rural situation and population groups of the municipalities (counties). The tracts were selected using probabilities proportional to the respective number of households. In the second stage, households were selected with equiprobability using an inverse sample design to ensure 20 households interviewed per tract. In the last stage, one adult (18 years or older) per household was selected with equiprobability to answer the majority of the questionnaire. Sample weights were based on the inverse of the inclusion probabilities in the sample. To reduce bias in regional estimates, a household weighting calibration procedure was used to reduce sample bias in relation to income, sex, and age group.
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spelling Sampling design for the World Health Survey in BrazilSurvey MethodsSelection BiasSampling StudiesThis paper describes the sample design used in the Brazilian application of the World Health Survey. The sample was selected in three stages. First, the census tracts were allocated in six strata defined by their urban/rural situation and population groups of the municipalities (counties). The tracts were selected using probabilities proportional to the respective number of households. In the second stage, households were selected with equiprobability using an inverse sample design to ensure 20 households interviewed per tract. In the last stage, one adult (18 years or older) per household was selected with equiprobability to answer the majority of the questionnaire. Sample weights were based on the inverse of the inclusion probabilities in the sample. To reduce bias in regional estimates, a household weighting calibration procedure was used to reduce sample bias in relation to income, sex, and age group.Este artigo descreve o desenho da amostra da Pesquisa Mundial de Saúde no Brasil. A amostra foi selecionada em três estágios. No primeiro, os setores censitários foram divididos em seis estratos, definidos pela situação e porte populacional dos municípios, e selecionados com probabilidade proporcional ao seu número de domicílios. No segundo estágio, os domicílios foram selecionados com eqüiprobabilidade, seguindo um esquema de amostragem inversa, para assegurar vinte entrevistas realizadas por setor. No último estágio foi selecionado com eqüiprobabilidade um adulto (18 anos ou mais) por domicílio para responder aos principais quesitos do questionário. A expansão da amostra foi feita com base nas probabilidades de seleção e, para permitir a obtenção de estimativas regionalizadas, os fatores de expansão foram calibrados para assegurar coerência com os totais populacionais por grupos de macrorregiões, quintos de renda, sexo e grupos etários, por meio de estimadores de regressão.Reports in Public HealthCadernos de Saúde Pública2005-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679Reports in Public Health; Vol. 21 No. 7 (2005): Supplement 1Cadernos de Saúde Pública; v. 21 n. 7 (2005): Suplemento 11678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679/5382https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679/5383Vasconcellos, Mauricio Teixeira Leite deSilva, Pedro Luis do NascimentoSzwarcwald, Célia Landmanninfo:eu-repo/semantics/openAccess2024-03-06T15:27:09Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/2679Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:03:07.502431Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv Sampling design for the World Health Survey in Brazil
title Sampling design for the World Health Survey in Brazil
spellingShingle Sampling design for the World Health Survey in Brazil
Vasconcellos, Mauricio Teixeira Leite de
Survey Methods
Selection Bias
Sampling Studies
title_short Sampling design for the World Health Survey in Brazil
title_full Sampling design for the World Health Survey in Brazil
title_fullStr Sampling design for the World Health Survey in Brazil
title_full_unstemmed Sampling design for the World Health Survey in Brazil
title_sort Sampling design for the World Health Survey in Brazil
author Vasconcellos, Mauricio Teixeira Leite de
author_facet Vasconcellos, Mauricio Teixeira Leite de
Silva, Pedro Luis do Nascimento
Szwarcwald, Célia Landmann
author_role author
author2 Silva, Pedro Luis do Nascimento
Szwarcwald, Célia Landmann
author2_role author
author
dc.contributor.author.fl_str_mv Vasconcellos, Mauricio Teixeira Leite de
Silva, Pedro Luis do Nascimento
Szwarcwald, Célia Landmann
dc.subject.por.fl_str_mv Survey Methods
Selection Bias
Sampling Studies
topic Survey Methods
Selection Bias
Sampling Studies
description This paper describes the sample design used in the Brazilian application of the World Health Survey. The sample was selected in three stages. First, the census tracts were allocated in six strata defined by their urban/rural situation and population groups of the municipalities (counties). The tracts were selected using probabilities proportional to the respective number of households. In the second stage, households were selected with equiprobability using an inverse sample design to ensure 20 households interviewed per tract. In the last stage, one adult (18 years or older) per household was selected with equiprobability to answer the majority of the questionnaire. Sample weights were based on the inverse of the inclusion probabilities in the sample. To reduce bias in regional estimates, a household weighting calibration procedure was used to reduce sample bias in relation to income, sex, and age group.
publishDate 2005
dc.date.none.fl_str_mv 2005-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679/5382
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/2679/5383
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
application/pdf
dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 21 No. 7 (2005): Supplement 1
Cadernos de Saúde Pública; v. 21 n. 7 (2005): Suplemento 1
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
institution FIOCRUZ
reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
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