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

Author

Leiva Ureña, David

Andrés, Amara

Manolov, Rumen

Publication date

2012-09-06T11:27:01Z

2012-09-06T11:27:01Z

2009

2012-09-06T11:27:01Z

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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.

Document Type

Article

Published version

Language

English

Subjects and keywords

Mètode de Montecarlo; Estadística; Anàlisi diàdic (Ciències socials); Monte Carlo method; Statistics; Dyadic analysis (Social sciences)

Publisher

Universidad de Oviedo

Related items

Reproducció del document publicat a: http://www.psico.uniovi.es/REMA/v14n2/vol14n2a1.pdf

REMA- Revista Electrónica de Metodología Aplicada, 2009, vol. 14, num. 2, p. 13

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Rights

(c) Leiva Ureña, David et al., 2009

This item appears in the following Collection(s)

ISGlobal - Institut de Salut Global de Barcelona [60808]

Psicologia Social i Psicologia Quantitativa [987]