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The nasty neighbour effect in humans

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DataONE2024-08-06 更新2025-04-26 收录
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Like other group-living species, humans often display parochial cooperation, that is they cooperate with ingroup members more than with outgroup members and strangers. Theoretically, parochial cooperation should imply that people also compete less with ingroup members than with outgroup members and strangers. However, in situations where people could invest to take other’s resources, and invest to protect against such exploitation, we observed the opposite pattern. Akin to what in other species is known as the ‘nasty neighbour effect’, in such dyadic contests people invested more (rather than less) with ingroup members than with out-group members and strangers across 51 nations, in different communities in Kenya, and in on-line samples from the United Kingdom. This ‘nasty neighbour’ behaviour emerged independent of parochial cooperation and trust towards others that have the same (versus different) nationality and, fitting field-observations in other species, neighbour nastiness emerges..., , , # Data from: The nasty neighbour effect in humans [https://doi.org/10.5061/dryad.dfn2z3597](https://doi.org/10.5061/dryad.dfn2z3597) ## Description of the data and file structure This repository contains the data and code to reproduce the results of the article \"The Nasty Neighbor Effect in Humans\". The data are in \".Rda\" format and the code was written in Rstudio. R version 4.3.1, R Studio 1.3.959 Library packages: 'metafor' (version 4.2-0), 'lme4' (1.1.-33), 'lmerTest' (3.1-3), 'countrycode' (1.5.0), 'corrplot' (0.92), 'dplyr' (1.1.2), 'data.table' (1.14.8), 'mediation' (4.5.0),  'esc' (0.5.1), 'ggplot2' (3.4.2), 'effects' (4.2-2). \########################################################################### The repository is composed by the following main dataset related to each study: data_study1.Rda, data_study2.Rda, data_study3.Rda, data_study4.Rda, return_study4.Rda, data_study5.Rda, data_study5long.Rda Other files include: all.Rda = dataset to reproduce forest plot in F...
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2024-08-07
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