Resumen

DEL RIO, Manuel Pelegrina; WALLACE RUIZ, Agustín; MORENO, Enrique Emberley  y  TEJEIRO SALGUERO, Ricardo. Mathematical Models in Word Recognition Memory: A Multilevel Analysis Roc. rev.latinoam.psicol. [online]. 2011, vol.43, n.3, pp.521-530. ISSN 0120-0534.

In this research we show the best efficient models in the evaluation of the recognition memory: First, a general mathematical model which underlies different data records ways. Second the election, organization and the presentation time of the stimulus is controlled experimentally. Third, we show the multilevel analysis for the rating scales, and a ROC and z-ROC distribution for the discrimination between TDS models and the threshold models. The results agree mainly with a TDS model when the stimuli are high frequency words, a model of threshold (or unequalvariance) when the stimuli are open class words, whereas the low frequency words occupy an intermediate place located between the TDS model and the threshold model.

Palabras clave : Items recognition; ROC analysis; statistical and mathematical modelling.

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