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Theoretical Correlations and Measured Correlations: Relating Recognition and Recall . . . (2003)
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BibTeX
@MISC{Kahana03theoreticalcorrelations,
author = {Michael J. Kahana and Daniel S. Rizzuto and Abraham R. Schneider},
title = {Theoretical Correlations and Measured Correlations: Relating Recognition and Recall . . .},
year = {2003}
}
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Abstract
This paper considers the relation between item recognition and cued recall -- two standard measures of episodic memory. Going beyond measures of performance on each task, we examine the degree to which correlations between successful recognition and successful recall of a single studied episode reflect the commonality of memory processes underlying the two tasks. Specifically, we consider whether four computational memory models (local and global match versions of both matrix and convolution-correlation models) can account for the relatively invariant correlation (# 0.5) between successive recognition and recall tests. Whereas basic versions of each model cannot account for the correlation, versions that take into account variability in goodness-of-encoding and in response criteria, as well as output encoding, are able to account for the level of dependency between tasks. These elaborated models also succeeded in fitting data from two new experiments that manipulated the level of variability in goodness-of-encoding across conditions. This model-
Keyphrases
measured correlation theoretical correlation account variability single studied episode global match version new experiment successive recognition response criterion output encoding convolution-correlation model memory process episodic memory successful recall elaborated model whereas basic version item recognition recall test model cannot account standard measure computational memory model successful recognition invariant correlation
