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Longitudinal versus Cross-Sectional Methods for Behavioural Research

A First-Round Knockout

Dados Bibliográficos

ID4142283
AutoresRichard B Davies (Institute of Science and Technology), Anthony Pickles (0000-0003-1283-0346, Northwestern University), A R Pickles (Department of Geography, Northwestern University, Evanston, Illinois 60201, USA; and Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, England)
Ano1985
Volume17
Fascículo10
Páginas1315-1329
Data de publicação1985-10-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironment and Planning A Economy and Space (JOURNAL)
Identificadores do periódicoISSN: 0308-518X • E-ISSN: 1472-3409
EditoraSAGE Publications Inc (PUBLISHER)
DOI10.1068/a171315
OpenAlexW2028555152
IdiomaEN
Citações recebidas24
Referências citadas15

It is explained that statistical problems over omitted variables and endogenous factors cast doubt upon the wisdom of attempting inference about many forms of human behaviour from cross-sectional data. Simulations are used to confirm that cross-sectional analyses can produce seriously misleading results. The problems are avoided by using longitudinal methods

Causal inference · Cross-sectional study · Econometrics · Inference · Longitudinal data · Sociology · Statistics · Computer Science · Demography · Economic and Environmental Valuation · Mathematics · Psychology · Spatial and Panel Data Analysis · Urban, Neighborhood, and Segregation Studies · Artificial Intelligence

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Obras citantes distintas24
Citações por ano0,62
Intervalo de citações1987 - 2021 (35)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 23
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