One hundred years of forgetting: A quantitative description of retention

dc.contributor.author

Rubin, DC

dc.contributor.author

Wenzel, AE

dc.date.accessioned

2015-05-21T16:47:30Z

dc.date.issued

1996-12-01

dc.description.abstract

A sample of 210 published data sets were assembled that (a) plotted amount remembered versus time, (b) had 5 or more points, and (c) were smooth enough to fit at least 1 of the functions tested with a correlation coefficient of .90 or greater. Each was fit to 105 different 2-parameter functions. The best fits were to the logarithmic function, the power function, the exponential in the square root of time, and the hyperbola in the square root of time. It is difficult to distinguish among these 4 functions with the available data, but the same set of 4 functions fit most data sets, with autobiographical memory being the exception. Theoretical motivations for the best fitting functions are offered. The methodological problems of evaluating functions and the advantages of searching existing data for regularities before formulating theories are considered.

dc.identifier.issn

0033-295X

dc.identifier.uri

https://hdl.handle.net/10161/10157

dc.publisher

American Psychological Association (APA)

dc.relation.ispartof

Psychological Review

dc.title

One hundred years of forgetting: A quantitative description of retention

dc.type

Journal article

pubs.begin-page

734

pubs.end-page

760

pubs.issue

4

pubs.organisational-group

Duke

pubs.organisational-group

Duke Institute for Brain Sciences

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.organisational-group

Psychology and Neuroscience

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

University Institutes and Centers

pubs.publication-status

Published

pubs.volume

103

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