Initial conditions in the averaging cognitive model

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Main Author: S. Noventa
Format: Artículo científico
Language:en
Published: Universitat de València 2010
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author S. Noventa
author_facet S. Noventa
contents Initial conditions in the averaging cognitive model S. Noventa D. Massidda G. Vidotto Psicología The initial state parameters s0 and w0 are intricate issues of the averaging cognitive models in Information Integration Theory. Usually they are defined as a measure of prior information (Anderson, 1981; 1982) but there are no general rules to deal with them. In fact, there is no agreement as to their treatment except in specific situations such as linear models where they can be merged with the arbitrary zero inter-response scale C0. We present some considerations on their meaning and usefulness in the Functional Measurement approach, starting from different points of view. Furthermore, we suggest a method to deal with their complexity both within each single trial of a factorial design, and between the overall trials of an experiment. 2010 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917002004 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_16917002004
institution Redalyc
language en
publishDate 2010
publisher Universitat de València
spellingShingle Initial conditions in the averaging cognitive model
S. Noventa
Psicología
Initial conditions in the averaging cognitive model S. Noventa D. Massidda G. Vidotto Psicología The initial state parameters s0 and w0 are intricate issues of the averaging cognitive models in Information Integration Theory. Usually they are defined as a measure of prior information (Anderson, 1981; 1982) but there are no general rules to deal with them. In fact, there is no agreement as to their treatment except in specific situations such as linear models where they can be merged with the arbitrary zero inter-response scale C0. We present some considerations on their meaning and usefulness in the Functional Measurement approach, starting from different points of view. Furthermore, we suggest a method to deal with their complexity both within each single trial of a factorial design, and between the overall trials of an experiment. 2010 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917002004 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.3 Vol.31
title Initial conditions in the averaging cognitive model
topic Psicología
url https://www.redalyc.org/articulo.oa?id=16917002004