Please use this identifier to cite or link to this item:
Title: Social reciprocity measures based on dyadic discrepancies: Methodological review and software development
Author: Leiva Ureña, David
Andrés, Amara
Manolov, Rumen
Keywords: Mètode de Montecarlo
Anàlisi diàdic (Ciències socials)
Monte Carlo method
Dyadic analysis (Social sciences)
Issue Date: 2009
Publisher: Universidad de Oviedo
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.
Note: Reproducció del document publicat a:
It is part of: REMA- Revista Electrónica de Metodología Aplicada, 2009, vol. 14, num. 2, p. 13
ISSN: 1135-6855
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Files in This Item:
File Description SizeFormat 
568976.pdf439.31 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.