Social reciprocity measures based on dyadic discrepancies: Methodological review and software development


Autoria(s): Leiva Ureña, David; Andrés, Amara; Manolov, Rumen
Contribuinte(s)

Universitat de Barcelona

Data(s)

06/09/2012

Resumo

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.

Identificador

http://hdl.handle.net/2445/29883

Idioma(s)

eng

Publicador

Universidad de Oviedo

Direitos

(c) Leiva Ureña, David et al., 2009

info:eu-repo/semantics/openAccess

Palavras-Chave #Mètode de Montecarlo #Estadística #Anàlisi diàdic (Ciències socials) #Monte Carlo method #Statistics #Dyadic analysis (Social sciences)
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion