dc.contributor.author
Leiva Ureña, David
dc.contributor.author
Andrés, Amara
dc.contributor.author
Manolov, Rumen
dc.date.issued
2012-09-06T11:27:01Z
dc.date.issued
2012-09-06T11:27:01Z
dc.date.issued
2012-09-06T11:27:01Z
dc.identifier
https://hdl.handle.net/2445/29883
dc.description.abstract
This 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
application/pdf
dc.publisher
Universidad de Oviedo
dc.relation
Reproducció del document publicat a: http://www.psico.uniovi.es/REMA/v14n2/vol14n2a1.pdf
dc.relation
REMA- Revista Electrónica de Metodología Aplicada, 2009, vol. 14, num. 2, p. 13
dc.rights
(c) Leiva Ureña, David et al., 2009
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)
dc.subject
Mètode de Montecarlo
dc.subject
Anàlisi diàdic (Ciències socials)
dc.subject
Monte Carlo method
dc.subject
Dyadic analysis (Social sciences)
dc.title
Social reciprocity measures based on dyadic discrepancies: Methodological review and software development
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
