Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-23T22:05:49.606Z Has data issue: false hasContentIssue false

On Shames' Experimenter Expectancy Paradox

Published online by Cambridge University Press:  01 April 2022

D. Primeaux*
Affiliation:
St. Joseph College

Extract

Shames' article (1979) ingeniously attempts to impeach arguments which support the view that a psychologist's experimental results are significantly influenced by the experimenter expectancy effect. This attack is a powerful one in which Shames unveils his “expectancy paradox”: the scientist investigating the influence of the expectancy effect in psychology remains himself subject to any such expectancy effect. Therefore, he argues, “The more substantial is the evidence for the veridicality of experimenter expectancy ... the more suspect it becomes ...” (1979, p. 384). Shames maintains that this paradox is inescapable only if the experimenter expectancy effect is inexorable in any particular research program and is pervasive through the broad spectrum of psychological research. A review of the literature leads him to hold that this effect is neither inexorable nor unquestionably pervasive. “Thus,” Shames concludes, “the expectancy paradox is less pernicious than may have been feared; however, since it is so intimately tied to the experimenter expectancy effect, the spectre of doubt as to the compass of this effect is cast” (1979, p. 387).

Type
Discussion
Copyright
Copyright © 1980 by Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Rosenthal, R. (1966), Experimenter Effects in Behavioral Research. New York: Appleton-Century-Crofts.Google Scholar
Shames, M. L. (1979), “On the Metamethodological Dimension of the ‘Expectancy Paradox',” Philosophy of Science 46: 382388.CrossRefGoogle Scholar