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Averaging models: Parameters estimation with the R-Average procedure
- Source :
- Scopus-Elsevier, Psicológica, Vol 31, Iss 3, Pp 461-475 (2010)
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Abstract
- The Functional Measurement approach, proposed within the theoretical framework of Information Integration Theory (Anderson, 1981, 1982), can be a useful multi-attribute analysis tool. Compared to the majority of statistical models, the averaging model can account for interaction effects without adding complexity. The R-Average method (Vidotto & Vicentini, 2007) can be used to estimate the parameters of these models. By the use of multiple information criteria in the model selection procedure, R-Average allows for the identification of the best subset of parameters that account for the data. After a review of the general method, we present an implementation of the procedure in the framework of R-project, followed by some experiments using a Monte Carlo method.
- Subjects :
- Consciousness. Cognition
Psychology
P1-1091
Philology. Linguistics
BF1-990
BF309-499
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Scopus-Elsevier, Psicológica, Vol 31, Iss 3, Pp 461-475 (2010)
- Accession number :
- edsair.dedup.wf.001..6e037dc42be0eab05eca1b03adb8d1e6