The relational integration task explains fluid reasoning above and beyond other working memory tasks.

This study aimed to evaluate how well fluid reasoning can be predicted by a task that involves the monitoring of patterns of stimuli. This task is believed to measure the effectiveness of relational integration-the process that binds mental representations into more complex relational structures. In...

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Publicado en:Memory & Cognition Vol. 42; no. 3; pp. 448 - 464
Autor principal: Chuderski, Adam
Formato: Artículo
Publicado: Springer Nature Apr2014
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The relational integration task explains fluid reasoning above and beyond other working memory tasks.
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        au: Chuderski, Adam
      su:
        Cognition
        Decision making
        Task performance
        Chi-squared test
        Research funding
        Short-term memory
        Structural equation modeling
        Descriptive statistics
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        subj:
          Cognition
          Decision making
          Task performance
          Chi-squared test
          Research funding
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          Structural equation modeling
          Descriptive statistics
      keyword:
        Fluid reasoning
        Relational integration
        Working memory
        Fluid reasoning
        Relational integration
        Working memory
      ab: This study aimed to evaluate how well fluid reasoning can be predicted by a task that involves the monitoring of patterns of stimuli. This task is believed to measure the effectiveness of relational integration-the process that binds mental representations into more complex relational structures. In Experiments 1 and 2, the task was indeed validated as a proper measure of relational integration, since participants' performance depended on the number of bindings that had to be constructed in the diverse conditions of the task, whereas neither the number of objects to be bound nor the amount of elicited interference could affect this performance. In Experiment 3, by means of structural equation modeling and variance partitioning, the relation integration task was found to be the strongest predictor of fluid reasoning, explaining variance above and beyond the amounts accounted for by four other kinds of well-established working memory tasks.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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