Averaging models: parameters estimation with the R-Average procedure
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Redalyc
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Universitat de València
2010
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| _version_ | 1876467777291681792 |
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| author | G. Vidotto |
| author_facet | G. Vidotto |
| contents | Averaging models: parameters estimation with the R-Average procedure G. Vidotto D. Massidda S. Noventa Psicología 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. 2010 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917002003 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.3 Vol.31 |
| format | Artículo científico |
| id | redalyc_16917002003 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Universitat de València |
| spellingShingle | Averaging models: parameters estimation with the R-Average procedure G. Vidotto Psicología Averaging models: parameters estimation with the R-Average procedure G. Vidotto D. Massidda S. Noventa Psicología 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. 2010 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917002003 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.3 Vol.31 |
| title | Averaging models: parameters estimation with the R-Average procedure |
| topic | Psicología |
| url | https://www.redalyc.org/articulo.oa?id=16917002003 |