Literature DB >> 1834767

Trial order affects cue interaction in contingency judgment.

G B Chapman1.   

Abstract

Recent research on contingency judgment indicates that the judged predictiveness of a cue is dependent on the predictive strengths of other cues. Two classes of models correctly predict such cue interaction: associative models and statistical models. However, these models differ in their predictions about the effect of trial order on cue interaction. In five experiments reported here, college students viewed trial-by-trial data regarding several medical symptoms and a disease, judging the predictive strength of each symptom with respect to the disease. The results indicate that trial order influences the manner in which cues interact, but that neither the associative nor the statistical models can fully account for the data pattern. A possible variation of an associative account is discussed.

Mesh:

Year:  1991        PMID: 1834767     DOI: 10.1037//0278-7393.17.5.837

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  34 in total

1.  Primacy in causal strength judgments: the effect of initial evidence for generative versus inhibitory relationships.

Authors:  M J Dennis; W K Ahn
Journal:  Mem Cognit       Date:  2001-01

2.  Causal judgment from contingency information: relation between subjective reports and individual tendencies in judgment.

Authors:  P A White
Journal:  Mem Cognit       Date:  2000-04

3.  How two causes are different from one: the use of (un)conditional information in Simpson's paradox.

Authors:  B A Spellman; C M Price; J M Logan
Journal:  Mem Cognit       Date:  2001-03

4.  A comparison between elemental and compound training of cues in retrospective revaluation.

Authors:  Martha Escobar; Oskar Pineño; Helena Matute
Journal:  Anim Learn Behav       Date:  2002-08

Review 5.  Assessing power PC.

Authors:  Lorraine G Allan
Journal:  Learn Behav       Date:  2003-05       Impact factor: 1.986

6.  Revisiting the role of within-compound associations in cue-interaction phenomena.

Authors:  David Luque; Amanda Flores; Miguel A Vadillo
Journal:  Learn Behav       Date:  2013-03       Impact factor: 1.986

7.  The effectiveness of inhibitors in human predictive judgments depends on the strength of the positive predictor.

Authors:  Danielle M Karazinov; Robert A Boakes
Journal:  Learn Behav       Date:  2004-08       Impact factor: 1.986

8.  Pavlovian backward conditioned inhibition in humans: summation and retardation tests.

Authors:  Gonzalo P Urcelay; Olga Perelmuter; Ralph R Miller
Journal:  Behav Processes       Date:  2007-07-20       Impact factor: 1.777

9.  Contrasting predictive and causal values of predictors and of causes.

Authors:  Oskar Pineño; James C Denniston; Tom Beckers; Helena Matute; Ralph R Miller
Journal:  Learn Behav       Date:  2005-05       Impact factor: 1.986

10.  Surprise and change: variations in the strength of present and absent cues in causal learning.

Authors:  Edward A Wasserman; Leyre Castro
Journal:  Learn Behav       Date:  2005-05       Impact factor: 1.986

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.