Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/29883
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dc.contributor.authorLeiva Ureña, David-
dc.contributor.authorAndrés, Amara-
dc.contributor.authorManolov, Rumen-
dc.date.accessioned2012-09-06T11:27:01Z-
dc.date.available2012-09-06T11:27:01Z-
dc.date.issued2009-
dc.identifier.issn1135-6855-
dc.identifier.urihttp://hdl.handle.net/2445/29883-
dc.description.abstractThis paper examines statistical analysis of social reciprocity at group, dyadic, and individual levels. Given that testing statistical hypotheses regarding social reciprocity can be also of interest, a statistical procedure based on Monte Carlo sampling has been developed and implemented in R in order to allow social researchers to describe groups and make statistical decisions.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherUniversidad de Oviedo-
dc.relation.isformatofReproducció del document publicat a: http://www.psico.uniovi.es/REMA/v14n2/vol14n2a1.pdf-
dc.relation.ispartofREMA- Revista Electrónica de Metodología Aplicada, 2009, vol. 14, num. 2, p. 13-
dc.rights(c) Leiva Ureña, David et al., 2009-
dc.sourceArticles publicats en revistes (Psicologia Social i Psicologia Quantitativa)-
dc.subject.classificationMètode de Montecarlo-
dc.subject.classificationEstadística-
dc.subject.classificationAnàlisi diàdic (Ciències socials)-
dc.subject.otherMonte Carlo method-
dc.subject.otherStatistics-
dc.subject.otherDyadic analysis (Social sciences)-
dc.titleSocial reciprocity measures based on dyadic discrepancies: Methodological review and software developmenteng
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec568976-
dc.date.updated2012-09-06T11:27:01Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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