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An Augmented Model for Spontaneous Regression and Recovery

Published online by Cambridge University Press:  01 January 2025

David McConnell
David McConnell*
Affiliation:
Indiana University
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Abstract

The Estes model for spontaneous recovery and regression is modified by relaxing the assumption that within-experiment stimulus fluctuation can be treated as negligible in the general case. The augmented model allows description of stimulus fluctuation both between and within experimental periods. Application of the model to mock experimental situations illustrates some of its properties.

Type
Original Paper
Information
Psychometrika , Volume 24 , Issue 2 , June 1959 , pp. 145 - 155
Copyright
Copyright © 1959 The Psychometric Society

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Footnotes

*

This study is based upon a dissertation submitted to the Department of Psychology, Indiana University, in partial fulfillment of the requirements for the Ph.D. degree.

References

Bush, R. R. and Mosteller, F. Stochastic models for learning, New York: Wiley, 1955.CrossRefGoogle Scholar
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