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

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Title:	Social reciprocity measures based on dyadic discrepancies: Methodological review and software development
Author:	Leiva Ureña, David; Andrés, Amara; Manolov, Rumen
Other authors:	Universitat de Barcelona
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.
Publication date:	2012-09-06
Subject(s):	-Mètode de Montecarlo -Estadística -Anàlisi diàdic (Ciències socials) -Monte Carlo method -Statistics -Dyadic analysis (Social sciences)
Rights:	(c) Leiva Ureña, David et al., 2009
Document type:	Article Article - Published version
Published by:	Universidad de Oviedo
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