Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-23T01:02:06.590Z Has data issue: false hasContentIssue false

The Logic of Tests of Significance

Published online by Cambridge University Press:  14 March 2022

Stephen Spielman*
Affiliation:
Lehman College of the City University of New York

Abstract

In spite of the fact that the Neyman–Pearson theory of testing is the official theory of statistical testing, most research publications in the social sciences use a pattern of inductive reasoning that is characteristic of Fisherian tests of significance. The exact structure and rationale of this pattern of reasoning is widely misunderstood. The goal of the paper is to describe precisely the pattern and its rationale, and to show that while it is far more cogent than Fisher's critics have realized, it does not logically sustain the inferences it sanctions.

Type
Research Article
Copyright
Copyright © 1974 by The 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.)

Footnotes

The research for this paper was funded by a grant from the City University Faculty Research Program.

References

REFERENCES

[1] Cramer, H. Mathematical Methods of Statistics. Princeton: Princeton University Press, 1946.Google Scholar
[2] Fisher, R. A. Statistical Methods and Scientific Inference. (2nd ed.). Edinburgh: Oliver and Boyd, 1959.Google Scholar
[3] Fisher, R. A. Design of Experiments. (8th ed.). Edinburgh: Oliver and Boyd, 1966.Google Scholar
[4] Gillies, D. A.A Falsifying Rule for Probability Statements.” British Journal for the Philosophy of Science 22 (1971): 231261.CrossRefGoogle Scholar
[5] Hacking, I. The Logic of Statistical Inference. Cambridge: Cambridge University Press, 1965.CrossRefGoogle Scholar
[6] Neyman, J. Lectures and Conferences on Mathematical Statistics. Washington, D.C.: Graduate School Press, 1952.Google Scholar
[7] Spielman, S.A Refutation of the Neyman-Pearson Theory of Testing.” British Journal for the Philosophy of Science 24 (1973): 201222.CrossRefGoogle Scholar
[8] Sterling, T. D.Publication Decisions and Their Possible Effect on Inferences Drawn from Tests of Significance or Vice-Versa.” Journal of the American Statistical Association 54 (1959): 3034.Google Scholar