Prosocial behaviour in urban and rural environments: field studies based upon a taxonomic organisation of helping episodes

Amato, Paul R. (1982) Prosocial behaviour in urban and rural environments: field studies based upon a taxonomic organisation of helping episodes. PhD thesis, James Cook University of North Queensland.

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View at Publisher Website: https://doi.org/10.25903/8p4a-yz29
 
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Abstract

This series of studies dealt with differences in rates of helping behaviour between people in urban and rural environments. A number of methodological problems in previous research are noted, including the fact that previous studies selected both individual subjects and communities for study on a nonrandom basis and gave little or no attention to the problem of the sampling of helping behaviours. A review of relevant theoretical approaches (information overload theory, deindividuation theory, urban stress-pathology theories, social inhibition theory, the setting-mood perspective, the socio-structural perspective, and the in-group/out-group perspective) highlighted the fact that the theories generally have left unspecified the ranges of helping forms for which they are meant to have relevance. Attention to this problem, along with consideration of , the problem of the sampling of behaviours for study, suggested the importance of developing a taxonomy of helping.

Item ID: 75806
Item Type: Thesis (PhD)
Keywords: helping, helpful behaviour, rural sociology, urban sociology, prosocial behaviour
Copyright Information: Copyright © 1982 Paul R. Amato.
Additional Information:

Paul Amato received a JCU Outstanding Alumni Award in 2014.

Date Deposited: 23 Aug 2022 23:06
FoR Codes: 44 HUMAN SOCIETY > 4410 Sociology > 441003 Rural sociology @ 35%
44 HUMAN SOCIETY > 4410 Sociology > 441016 Urban sociology and community studies @ 35%
44 HUMAN SOCIETY > 4410 Sociology > 441006 Sociological methodology and research methods @ 30%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280123 Expanding knowledge in human society @ 100%
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