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https://hdl.handle.net/2445/29883| 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 Estadística Anàlisi diàdic (Ciències socials) Monte Carlo method Statistics 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: http://www.psico.uniovi.es/REMA/v14n2/vol14n2a1.pdf |
| It is part of: | REMA- Revista Electrónica de Metodología Aplicada, 2009, vol. 14, num. 2, p. 13 |
| URI: | https://hdl.handle.net/2445/29883 |
| ISSN: | 1135-6855 |
| Appears in Collections: | Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 568976.pdf | 439.31 kB | Adobe PDF | View/Open |
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