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A Stochastic Model for Rote Serial Learning

Published online by Cambridge University Press:  01 January 2025

Richard C. Atkinson*
Affiliation:
Indiana University

Abstract

A model for the acquisition of responses in an anticipatory rote serial learning situation is presented. The model is developed in detail for the case of a long intertrial interval and employed to fit data where the list length is varied from 8 to 18 words. Application of the model to the case of a short intertrial interval is considered; some predictions are derived and checked against experimental data.

Type
Original Paper
Copyright
Copyright © 1957 The Psychometric Society

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Footnotes

*

The author wishes to thank Professors C. J. Burke and W. K. Estes for advice and assistance in carrying out this research.

References

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