Análisis de los procesos sensorial y decisorio en una tarea de detección de contingencias
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2015-07-27
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Jaén: Universidad de Jaén
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La Teoría de Detección de Señales (TDS) es una propuesta en relación al Aprendizaje de Contingencias Humano (ACH) que determina que la respuesta de los sujetos en una tarea discriminativa depende de dos procesos: el criterio de decisión del sujeto y la sensibilidad a los estímulos. A partir de aquí se ha realizado una adaptación del trabajo de Crump, Hannah, Allan, y Hord (2007) con el que se pretende analizar la influencia de la contingencia y las instrucciones en dichos procesos. Los resultados, si bien muestran una tendencia a los predichos, no han resultado estadísticamente significativos, pero apuntan en la dirección de validar esta novedosa propuesta que nos permita seguir con
The detection theory (TDS) is a proposal in relation to Human Learning Contingencies (ACH) that determines the response of the subject in a discriminative task is broken down into two elements: the decision criterion of the subject and sensitivity to stimuli. From here there has been an adaptation of the Crump, Hannah, Allan, y Hord (2007) work, with which it is intended to analyze the influence of contingency and instructions in these processes. The results, although a tendency to predicted, have not been statistically significant, but pointing toward validating this new proposal that allows us to continue the evolutionary line of continuity that has characterized the contingency learning perspective since its inception.
The detection theory (TDS) is a proposal in relation to Human Learning Contingencies (ACH) that determines the response of the subject in a discriminative task is broken down into two elements: the decision criterion of the subject and sensitivity to stimuli. From here there has been an adaptation of the Crump, Hannah, Allan, y Hord (2007) work, with which it is intended to analyze the influence of contingency and instructions in these processes. The results, although a tendency to predicted, have not been statistically significant, but pointing toward validating this new proposal that allows us to continue the evolutionary line of continuity that has characterized the contingency learning perspective since its inception.