Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap

Detalhes bibliográficos
Autor(a) principal: Michael E. Reichenheim
Data de Publicação: 2014
Outros Autores: Yara Hahr M. Hökerberg, Claudia Leite Moraes
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/5544
Resumo: Guidelines have been proposed for assessing the quality of clinical trials, observational studies and validation studies of diagnostic tests. More recently, the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative extended those in regards to epidemiological measurement tools in general. Among various facets proposed for assessment is the validity of an instrument’s dimensional structure (or structural validity). The purpose of this article is to extend these guidelines. A seven-step roadmap is proposed to examine (1) the hypothesized dimensional structure; (2) strength of component indicators regarding loading patterns and measurement errors; (3) measurement error correlations; (4) factor-based convergent and discriminant validity of scales; (5) item discrimination and intensity vis-à-vis the latent trait spectrum; and (6) the properties of raw scores; and (7) factorial invariance. The paper also holds that the suggested steps still require debate and are open to refinements.
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spelling Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmapEpidemiologic ModelsValidity of TestsMethodologyGuidelines have been proposed for assessing the quality of clinical trials, observational studies and validation studies of diagnostic tests. More recently, the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative extended those in regards to epidemiological measurement tools in general. Among various facets proposed for assessment is the validity of an instrument’s dimensional structure (or structural validity). The purpose of this article is to extend these guidelines. A seven-step roadmap is proposed to examine (1) the hypothesized dimensional structure; (2) strength of component indicators regarding loading patterns and measurement errors; (3) measurement error correlations; (4) factor-based convergent and discriminant validity of scales; (5) item discrimination and intensity vis-à-vis the latent trait spectrum; and (6) the properties of raw scores; and (7) factorial invariance. The paper also holds that the suggested steps still require debate and are open to refinements.Se han propuesto directrices para evaluar la calidad de los ensayos clínicos, estudios observacionales y estudios de validación de pruebas de diagnóstico. Más recientemente, la iniciativa COSMIN (COnsensus-based Standards for the selection of Health Measurement INstruments) amplió estas directrices para la medición de herramientas epidemiológicas en general. Una de las muchas facetas propuestas para la evaluación se refiere a la validez de la estructura dimensional del instrumento (o validez estructural). El objetivo de este trabajo es extender estas directrices. Se propone un guion de siete pasos, examinando: (1) la estructura dimensional, (2) la fuerza de indicadores componentes relativos con los patrones de las cargas y errores de medición; (3) la correlación de los residuos, (4) la validez factorial convergente y discriminante; (5) la capacidad de discriminación e intensidad de indicadores en relación a rasgos latentes; (6) las propiedades de las puntuaciones brutas, (7) invariancia factorial. El artículo también señala que las medidas propuestas aún requieren mayor discusión y están abiertos a mejoras.Orientações têm sido propostas para avaliar a qualidade dos ensaios clínicos, estudos observacionais e estudos de validação de testes de diagnósticos. Mais recentemente, a iniciativa COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) estendeu essas orientações para instrumentos de aferição epidemiológicos em geral. Dentre as várias facetas propostas para a avaliação concerne a validade da estrutura dimensional de um instrumento (ou validade estrutural). O objetivo deste artigo é estender essas diretrizes. Um roteiro de sete passos é proposto, examinando: (1) a estrutura dimensional postulada; (2) a força de indicadores componentes relativa ao padrão de cargas e erros de medição; (3) a correlação de resíduos; (4) a validade convergente e discriminante fatorial; (5) a capacidade de discriminação e intensidade dos itens em relação ao espectro do traço latente; (6) as propriedades dos escores brutos; e (7) a invariância fatorial. O artigo também sustenta que os passos sugeridos ainda requerem mais debates e estão abertos a aperfeiçoamentos.Reports in Public HealthCadernos de Saúde Pública2014-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5544Reports in Public Health; Vol. 30 No. 5 (2014): MayCadernos de Saúde Pública; v. 30 n. 5 (2014): Maio1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5544/11488https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5544/11489Michael E. ReichenheimYara Hahr M. HökerbergClaudia Leite Moraesinfo:eu-repo/semantics/openAccess2024-03-06T15:28:47Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/5544Revistahttps://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:2024-03-06T13:06:21.939308Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
title Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
spellingShingle Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
Michael E. Reichenheim
Epidemiologic Models
Validity of Tests
Methodology
title_short Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
title_full Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
title_fullStr Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
title_full_unstemmed Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
title_sort Assessing construct structural validity of epidemiological measurement tools: a seven-step roadmap
author Michael E. Reichenheim
author_facet Michael E. Reichenheim
Yara Hahr M. Hökerberg
Claudia Leite Moraes
author_role author
author2 Yara Hahr M. Hökerberg
Claudia Leite Moraes
author2_role author
author
dc.contributor.author.fl_str_mv Michael E. Reichenheim
Yara Hahr M. Hökerberg
Claudia Leite Moraes
dc.subject.por.fl_str_mv Epidemiologic Models
Validity of Tests
Methodology
topic Epidemiologic Models
Validity of Tests
Methodology
description Guidelines have been proposed for assessing the quality of clinical trials, observational studies and validation studies of diagnostic tests. More recently, the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative extended those in regards to epidemiological measurement tools in general. Among various facets proposed for assessment is the validity of an instrument’s dimensional structure (or structural validity). The purpose of this article is to extend these guidelines. A seven-step roadmap is proposed to examine (1) the hypothesized dimensional structure; (2) strength of component indicators regarding loading patterns and measurement errors; (3) measurement error correlations; (4) factor-based convergent and discriminant validity of scales; (5) item discrimination and intensity vis-à-vis the latent trait spectrum; and (6) the properties of raw scores; and (7) factorial invariance. The paper also holds that the suggested steps still require debate and are open to refinements.
publishDate 2014
dc.date.none.fl_str_mv 2014-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5544
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5544
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/5544/11488
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/5544/11489
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. 30 No. 5 (2014): May
Cadernos de Saúde Pública; v. 30 n. 5 (2014): Maio
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
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reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
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