بحث بعنوان Theoretical Correlations and Measured Correlations

بحث بعنوان
Theoretical Correlations and Measured Correlations: Relating Recognition and Recall in Four Distributed Memory Models
Michael J. Kahana
University of Pennsylvania
Daniel S. Rizzuto
California Institute of Technology
Abraham R. Schneider
New York University
This article addresses the relation between item recognition and associative (cued) recall. Going beyond
measures of performance on each task, the analysis focuses on the degree to which the contingency
between successful recognition and successful recall of a studied item reflects the commonality of
memory processes underlying the recognition and recall tasks. Specifically, 4 classes of distributed
memory models are assessed for their ability to account for the relatively invariant correlation (
.5)
between successive recognition and recall. Basic versions of each model either under- or overpredict the
intertask correlation. Introducing variability in goodness-of-encoding and response criteria, as well as
output encoding, enabled all 4 models to reproduce the moderate intertask correlation and the increase
in correlation observed in 2 mixed-list experiments. This model-based analysis provides a general
theoretical framework for interpreting contingencies between successive memory tests.
Keywords: recognition, recall, correlation, memory, modeling.

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