دانلود مقاله ISI انگلیسی شماره 71293
عنوان فارسی مقاله

روشی نوین در ارزیابی مدل های رقیب حافظه شناخت

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
71293 2013 19 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A novel method for assessing rival models of recognition memory
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Mathematical Psychology, Volume 57, Issue 5, October 2013, Pages 196–214

کلمات کلیدی
مدل حافظه شناخت - مدل مخلوط - توابع خطر؛ تشخیص سیگنال؛ مدل سازی درخت پردازش چندجمله ای
پیش نمایش مقاله
پیش نمایش مقاله روشی نوین در ارزیابی مدل های رقیب حافظه شناخت

چکیده انگلیسی

A general comparison is made between the multinomial processing tree (MPT) approach and a strength-based approach for modeling recognition memory measurement. Strength models include the signal-detection model and the dual-process model. Existing MPT models for recognition memory and a new generic MPT model, called the Multistate (MS) model, are contrasted with the strength models. Although the ROC curves for the MS model and strength model are similar, there is a critical difference between existing strength models and MPT models that goes beyond the assessment of the ROC. This difference concerns the question of stochastic mixtures for foil test trials. The hazard function and the reverse hazard function are powerful methods for detecting the presence of a probabilistic mixture. Several new theorems establish a novel method for obtaining information about the hazard function and reverse hazard function for the latent continuous distributions that are assumed in the strength approach to recognition memory. Evidence is provided that foil test trials involve a stochastic mixture. This finding occurred for both short-term memory procedures, such as the Brown–Peterson task, and long-term list-learning procedures, such as the paired-associate task. The effect of mixtures on foil trials is problematic for existing strength models but can be readily handled by MPT models such as the MS model. Other phenomena, such as the mirror effect and the effect of target-foil similarity, are also predicted accurately by the MPT modeling framework.

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