Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Pesquisa de Coorte Multivariada× | Pesquisa de Painel× | |
|---|---|---|
| Área | Delineamento de pesquisa | Delineamento de pesquisa |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1950s–1970s (cohort methods); multivariate extensions prominent from 1970s onward | 1970s-1980s (econometric formalization); earlier social survey use from 1940s |
| Autor original≠ | Epidemiology and biostatistics tradition; advanced by Rothman, Breslow, and colleagues | Social science and econometric traditions; systematized by Cheng Hsiao and others from the 1970s-1980s |
| Tipo≠ | Observational quantitative research design | Quantitative longitudinal observational design |
| Fonte seminal≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. ISBN: 978-0521522717 |
| Outros nomes | multivariate cohort study, cohort study with multivariate analysis, multivariable cohort design, multivariate longitudinal cohort | panel study, panel survey, longitudinal panel, repeated-measures panel |
| Relacionados≠ | 5 | 3 |
| Resumo≠ | Multivariate cohort research follows a defined group of individuals forward in time, collecting data on multiple exposures, outcomes, and covariates simultaneously. By applying multivariate statistical models — such as Cox regression, mixed-effects models, or structural equation models — researchers can disentangle the independent contributions of several predictors to one or more outcomes while controlling for confounders. The design is widely used in epidemiology, public health, psychology, and social sciences. | Panel research is a quantitative longitudinal design in which the same individuals, organizations, or other units are measured repeatedly across two or more time points. Unlike cross-sectional surveys that capture a single snapshot, a panel tracks change within units, enabling researchers to separate genuine within-unit change from between-unit differences and to model causal dynamics over time. |
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