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The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research
by
Kwan, Mei-Po
in
efecto vecinal, prejuicio de publicación, sesgo de movilidad selectiva, problema de contexto geográfico incierto, UGCoP
/ neighborhood effect
/ publication bias
/ selective mobility bias
/ uncertain geographic context problem, UGCoP
/ 邻里效应, 发表偏差, 选择性移动偏差, 不确定的地理情境问题 UGCoP
2018
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The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research
by
Kwan, Mei-Po
in
efecto vecinal, prejuicio de publicación, sesgo de movilidad selectiva, problema de contexto geográfico incierto, UGCoP
/ neighborhood effect
/ publication bias
/ selective mobility bias
/ uncertain geographic context problem, UGCoP
/ 邻里效应, 发表偏差, 选择性移动偏差, 不确定的地理情境问题 UGCoP
2018
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The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research
by
Kwan, Mei-Po
in
efecto vecinal, prejuicio de publicación, sesgo de movilidad selectiva, problema de contexto geográfico incierto, UGCoP
/ neighborhood effect
/ publication bias
/ selective mobility bias
/ uncertain geographic context problem, UGCoP
/ 邻里效应, 发表偏差, 选择性移动偏差, 不确定的地理情境问题 UGCoP
2018
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The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research
Journal Article
The Limits of the Neighborhood Effect: Contextual Uncertainties in Geographic, Environmental Health, and Social Science Research
2018
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Overview
This article draws on recent studies to argue that researchers need to be attentive to the limits of the neighborhood effect as conventionally understood. It highlights the complexities of contextual influences and the challenges in accurately representing and measuring individual exposures to those influences. Specifically, it discusses the idiosyncratic and multidimensional nature of contextual effects, the temporal complexities of contextual influences, the frame dependence of exposure measures, selective mobility bias, and publication bias in neighborhood effects research. It also discusses how contextual uncertainties could be mitigated in future research (e.g., through collecting and using high-resolution space-time data and moving toward frame-independent exposure measures with results that are not affected by how data are organized with respect to space and time).
Publisher
Routledge
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