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That Haig and Sohn find the hypotheticodeductive approach wanting in different ways shows that multiple conditional syllogisms are being used in different stages of theory corroboration in the Popperian approach. The issues raised in the two commentaries assume a different complexion when certain distinctions are made.

Chow
Siu L.
Haig, B. D. (2000). Statistical significance testing, hypotheticodeductive method, and theory evaluation. Behavioral and Brain Sciences, 23(2), 292293.
pub
Statistical significance, rejection of chance, sample size
2
294298
FALSE
Behavioral and Brain Sciences
TRUE
Chow, S. L. (1996). Statistical significance: Rationale, validity and utility. London: Sage.
Chow, S. L. (1998). PrĂ©cis of Statistical significance: Rationale, validity, and utility. Behavioral and Brain Sciences, 21, 169194.
Cohen, J. (1987). Statistical power analysis for the behavioral sciences (revised edition). New York: Academic Press.
Haig, B. D. (this issue). Statistical significance testing, hypotheticodeductive method and theory evaluation.
Kirk, R. E. (1984). Basic statistics (2nd edition). Pacific Grove, CA: Brooks/Cole.
Sohn, D. (this issue). Does the finding of statistical significance justify the rejection of the null hypothesis?
Winer, B. J. (1962). Statistical principles in experimental design. N. Y.: McGrawHill.
 cogpsy
The Popperian framework, statistical significance, and rejection of chance
23
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