دانلود مقاله ISI انگلیسی شماره 71682
عنوان فارسی مقاله

تفاوت های فردی در گنجایش‌ حافظه کوتاه مدت معنایی و درک مطلب

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
71682 2003 26 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
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عنوان انگلیسی
Individual differences in semantic short-term memory capacity and reading comprehension
منبع

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

Journal : Journal of Memory and Language, Volume 48, Issue 2, February 2003, Pages 320–345

کلمات کلیدی
حافظه کوتاه مدت؛ حافظه کاری؛ خواندن و درک مطلب - تفاوتهای فردی؛ طول مفهومی؛ طول خواندن
پیش نمایش مقاله
پیش نمایش مقاله تفاوت های فردی در گنجایش‌ حافظه کوتاه مدت معنایی و درک مطلب

چکیده انگلیسی

We report three correlation studies, which investigate the hypothesis that individual differences in the capacity of a semantic short-term memory (STM) component in working memory (WM) predict performance on complex language tasks. To measure the capacity of semantic STM, we devised a storage-only measure, the conceptual span, which makes use of a category-cued recall procedure. In the first two studies, where the conceptual span was administered with randomized words (not blocked by categories), we found that conceptual span predicted single-sentence and text comprehension, semantic anomaly detection and verbal problem solving, explaining unique variance beyond non-word and word span. In some cases, the conceptual span explained unique variance beyond the reading span. Conceptual span correlated better with verbal problem solving than reading span, suggesting that a storage-only measure can outperform a storage-plus-processing measure. In Study 3, the conceptual span was administered with semantically clustered lists. The clustered span correlated with the comprehension measures as well as the non-clustered span, indicating that the critical process is memory maintenance and not semantic clustering. Moreover, we found an interaction between subjects’ performance on the conceptual span and the effect of the distance between critical words in anomaly detection, supporting the proposal that semantic STM maintains unintegrated word meanings.

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