Literature DB >> 12293872

Using census data to investigate the causes of the ecological fallacy.

M Tranmer, D G Steel.   

Abstract

"The authors show how data from the 2% Sample of Anonymised Records (SAR) can be combined with data from the Small Area Statistics (SAS) database to investigate the causes of the ecological fallacy in an Enumeration District (ED) level analysis. A range of census variables are examined in three ¿SAR districts'...in England. Results of comparable analyses from the 1986 Australian census are also given. The ecological fallacy arises when results from an analysis based on area-level aggregate statistics are incorrectly assumed to apply at the individual level.... A methodology is introduced which allows aggregate-level statistics to be adjusted by using individual-level information on those variables that explain much of the within-area homogeneity." excerpt

Keywords:  Area Analysis; Australia; Census; Census Methods; Data Analysis; Developed Countries; England; Error Sources; Europe; Geographic Factors; Measurement; Methodological Studies; Northern Europe; Oceania; Population; Population Statistics; Research Methodology; United Kingdom

Mesh:

Year:  1998        PMID: 12293872     DOI: 10.1068/a300817

Source DB:  PubMed          Journal:  Environ Plan A        ISSN: 0308-518X


  5 in total

1.  Linkage of survey data with district-level lung cancer registrations: a method of bias reduction in ecological studies.

Authors:  Gillian A Lancaster; Mick Green; Steven Lane
Journal:  J Epidemiol Community Health       Date:  2006-12       Impact factor: 3.710

2.  Conceptualizing and operationalizing neighbourhoods: the conundrum of identifying territorial units.

Authors:  Lise Gauvin; Eric Robitaille; Mylène Riva; Lindsay McLaren; Clément Dassa; Louise Potvin
Journal:  Can J Public Health       Date:  2007 Jul-Aug

3.  A framework for the identification and classification of homogeneous socioeconomic areas in the analysis of health care variation.

Authors:  Ludovico Pinzari; Soumya Mazumdar; Federico Girosi
Journal:  Int J Health Geogr       Date:  2018-12-04       Impact factor: 3.918

4.  Geographic analysis of low birthweight and infant mortality in Michigan using automated zoning methodology.

Authors:  Sue C Grady; Helen Enander
Journal:  Int J Health Geogr       Date:  2009-02-18       Impact factor: 3.918

5.  Wild boar mapping using population-density statistics: From polygons to high resolution raster maps.

Authors:  Claudia Pittiglio; Sergei Khomenko; Daniel Beltran-Alcrudo
Journal:  PLoS One       Date:  2018-05-16       Impact factor: 3.240

  5 in total

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