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Multi-level modelling in health research: A caution and rejoinder on temporally mismatched data

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  • Buzzelli, Michael
  • Su, Jason

Abstract

In a review of the multilevel modelling literature (MLM) we find that data on individuals and their social environment contexts (neighbourhoods, municipalities) are often drawn from different years/time periods. This temporal mismatch has scarcely attracted any attention though it can significantly influence modelling results and interpretation. We demonstrate the influence of temporal mismatch first by outlining the degree of neighbourhood mobility in large metropolitan areas in Britain, Canada and the United States and second with a brief MLM example. We conclude that researchers ought to provide more study context when such mismatch is unavoidable.

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  • Buzzelli, Michael & Su, Jason, 2006. "Multi-level modelling in health research: A caution and rejoinder on temporally mismatched data," Social Science & Medicine, Elsevier, vol. 62(5), pages 1215-1218, March.
    • Handle: RePEc:eee:socmed:v:62:y:2006:i:5:p:1215-1218
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    4. Brimblecombe, Nic & Dorling, Danny & Shaw, Mary, 2000. "Migration and geographical inequalities in health in Britain," Social Science & Medicine, Elsevier, vol. 50(6), pages 861-878, March.
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    Cited by:

    1. Frank Dunstan & David L Fone & Myer Glickman & Stephen Palmer, 2013. "Objectively Measured Residential Environment and Self-Reported Health: A Multilevel Analysis of UK Census Data," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.
    2. Jackson, Christopher H. & Richardson, Sylvia & Best, Nicky G., 2008. "Studying place effects on health by synthesising individual and area-level outcomes," Social Science & Medicine, Elsevier, vol. 67(12), pages 1995-2006, December.
    3. Fone, David & Dunstan, Frank & Williams, Gareth & Lloyd, Keith & Palmer, Stephen, 2007. "Places, people and mental health: A multilevel analysis of economic inactivity," Social Science & Medicine, Elsevier, vol. 64(3), pages 633-645, February.

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