Multi-level modelling in health research: A caution and rejoinder on temporally mismatched data [An article from: Social Science & Medicine] Buy on Amazon

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Multi-level modelling in health research: A caution and rejoinder on temporally mismatched data [An article from: Social Science & Medicine]

PublisherElsevier
4.95 USD
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PublisherElsevier
ISBN / ASINB000RR7ILK
ISBN-13978B000RR7IL1
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States  🇺🇸

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This digital document is a journal article from Social Science & Medicine, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

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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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