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Competition among Stimulus-Stimulus Relations in an Intelligence-Test Format.

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Title: Competition among Stimulus-Stimulus Relations in an Intelligence-Test Format.
Authors: Gómez Bujedo, Jesús, De Amores Cabello, Luis Ignacio, Lorca Marín, José Andrés, García García, Andrés
Source: Psychological Record. Dec2018, Vol. 68 Issue 4, p549-559. 11p.
Subjects: Nonverbal intelligence tests, Analysis of variance, Intelligence tests, Eye tracking, Adults
Abstract: A behavior analytic model of analogical reasoning has been developed over the past two decades. Applying this model, we analyzed 12 visual analogies of the Test Of Nonverbal Intelligence (TONI-2) and predicted competition between stimulus-stimulus relations based on the number of nonarbitrary relations shared between the sample and the comparisons. Thirty-three adult participants solved the selected items while their eye movements were monitored using an eye-tracking device. For every item, a repeated measures ANOVA showed that observation duration was significantly higher in the response alternatives that shared more nonarbitrary relations with the sample (p < 0.001). The correct comparison was observed for a longer period of time, followed by the higher rank distractors, and then the rest. The effect size ranged from 0.293 to 0.764. The systematic application of the behavior analytic model of analogical reasoning allowed us to predict the behavior of participants taking an intelligence test based on visual analogies, at least to some extent. This work extends the application of the behavior analytic model of analogical reasoning to a rather complex situation (i.e., a published intelligence test). [ABSTRACT FROM AUTHOR]
Copyright of Psychological Record is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A behavior analytic model of analogical reasoning has been developed over the past two decades. Applying this model, we analyzed 12 visual analogies of the Test Of Nonverbal Intelligence (TONI-2) and predicted competition between stimulus-stimulus relations based on the number of nonarbitrary relations shared between the sample and the comparisons. Thirty-three adult participants solved the selected items while their eye movements were monitored using an eye-tracking device. For every item, a repeated measures ANOVA showed that observation duration was significantly higher in the response alternatives that shared more nonarbitrary relations with the sample (p &lt; 0.001). The correct comparison was observed for a longer period of time, followed by the higher rank distractors, and then the rest. The effect size ranged from 0.293 to 0.764. The systematic application of the behavior analytic model of analogical reasoning allowed us to predict the behavior of participants taking an intelligence test based on visual analogies, at least to some extent. This work extends the application of the behavior analytic model of analogical reasoning to a rather complex situation (i.e., a published intelligence test). [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Psychological Record is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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              Text: Dec2018
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