Sat, 26 Jul 2008 05:56:29 BST CiteULike: acslab's multi-attribute http://www.citeulike.org/user/acslab/tag/multi-attribute CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/acslab/article/2776572 <i>Organizational Behavior and Human Decision Processes, Vol. 70, No. 1. (April 1997), pp. 41-64.</i><br /><br />A sampling model was proposed in which the weight given to a piece of information corresponds to the amount of sampling of that information in either a continuous, discrete or strategic manner. These three sampling processes were related to process tracing measures of initial and additional time per acquisition and frequency of acquisition. The applicability of the sampling model was tested in three experiments in which students uncovered information corresponding to verbal and math aptitude scores of hypothetical applicants and either judged the likelihood of success in a designated major or chose which of a pair of applicants was more likely to succeed in the major. Task focus was manipulated by altering the designated major. In Experiment 1, analysis of judgment data demonstrated large effects of task focus on the weighting of verbal and math scores and corresponding increases in number of acquisitions and time per acquisition on the information receiving more weight. In Experiments 2 and 3, analyses of choice proportions revealed effects of task focus on weight and bias parameters. Looking data in choice provided strong support for two of the stages of processing described by Russo and Leclerc (1994). Initial looks reflected orientation and screening functions and additional looks reflected more evaluative processes. Experiment 3 also explored similarities and differences among groups of participants who were classified as following different identifiable choice strategies. Looking and Weighting in Judgment and Choice, Douglas Wedell Stuart Senter doi:10.1006/obhd.1997.2692 Organizational Behavior and Human Decision Processes, Vol. 70, No. 1. (April 1997), pp. 41-64. 2008-05-09T20:25:05-00:00 1997 Organizational Behavior and Human Decision Processes 70 1 41 64 decision-making judgment multi-attribute http://www.citeulike.org/user/acslab/article/2624424 <i>Journal of Experimental Psychology: Learning, Memory and Cognition, Vol. 33, No. 6. (1 November 2007), pp. 999-1019.</i><br /><br />Observers were presented with pairs of objects varying along binary-valued attributes and learned to predict which member of each pair had a greater value on a continuously varying criterion variable. The predictions from exemplar models of categorization were contrasted with classic alternative models, including generalized versions of a “take-the-best” model and a weighted-additive model, by testing structures in which interactions between attributes predicted the magnitude of the criterion variable. Under typical training conditions, observers showed little sensitivity to the attribute interactions, thereby challenging the predictions from the exemplar models. In a condition involving highly extended training, observers eventually learned the relations between the attribute interactions and the criterion variable. However, an analysis of the observers' response times for making their paired-comparison decisions also challenged the exemplar model predictions. Instead, it appeared that most observers recoded the interacting attributes into emergent configural cues. They then applied a set of hierarchically organized rules based on the priority of the cues to make their decisions. Limitations of Exemplar Models of Multi-Attribute Probabilistic Inference Robert Nosofsky Bryan Bergert doi:10.1037/0278-7393.33.6.999 Journal of Experimental Psychology: Learning, Memory and Cognition, Vol. 33, No. 6. (1 November 2007), pp. 999-1019. 2008-04-02T20:47:05-00:00 2007 Journal of Experimental Psychology: Learning, Memory and Cognition 33 6 999 1019 exemplar-model judgment multi-attribute