dc.contributor.author | Franks, DW | |
dc.contributor.author | Weiss, MN | |
dc.contributor.author | Silk, M | |
dc.contributor.author | Perryman, RJY | |
dc.contributor.author | Croft, D | |
dc.date.accessioned | 2020-05-19T09:40:51Z | |
dc.date.issued | 2020-06-26 | |
dc.description.abstract | 1. Because of the nature of social interaction or association data, when testing hypotheses
using social network data it is common for network studies to rely on permutations to
control for confounding variables, and to not also control for them in the fitted statistical
model. This can be a problem because it does not adjust for any bias in effect sizes
generated by these confounding effects, and thus the effect sizes are not informative in
the presence of counfouding variables.
2. We implemented two network simulation examples and analysed an empirical data set
to demonstrate how relying solely on permutations to control for confounding variables
can result in highly biased effect size estimates of animal social preferences that are
uninformative when quantifying differences in behaviour.
3. Using these simulations, we show that this can sometimes even lead to effect sizes that
have the wrong sign and are thus the effect size is not biologically interpretable. We
demonstrate how this problem can be addressed by controlling for confounding
variables in the statistical dyadic or nodal model.
4. We recommend this approach should be adopted as standard practice in the statistical
analysis of animal social network data | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.identifier.citation | Published online 18 June 2020 | en_GB |
dc.identifier.doi | 10.1111/2041-210X.13429 | |
dc.identifier.grantnumber | NE/S010327/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/121085 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley for British Ecological Society | en_GB |
dc.subject | Animal Social Networks | en_GB |
dc.subject | social network analysis | en_GB |
dc.subject | social behaviour | en_GB |
dc.title | Calculating effect sizes in animal social network analysis | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-05-19T09:40:51Z | |
dc.identifier.issn | 2041-210X | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.identifier.journal | Methods in Ecology and Evolution | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2020-05-18 | |
exeter.funder | ::Natural Environment Research Council (NERC) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-05-18 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-05-19T09:01:40Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2020-08-12T12:15:06Z | |
refterms.panel | A | en_GB |