Significance testing – does it need this defence?
Behavioral and Brain Sciences 21 (2):214-215 (1998)
| Abstract | Chow's (1996) Statistical significance is a defence of null-hypothesis significance testing (NHSTP). The most common and straightforward use of significance testing is for the statistical corroboration of general hypotheses. In this case, criticisms of NHSTP, at least those mentioned in the book, are unfounded or misdirected. This point is driven home by the author a bit too forcefully and meticulously. The awkward and cumbersome organisation and argumentation of the book makes it even harder to read. | |||||||||
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John E. Hunter (1998). Testing Significance Testing: A Flawed Defense. Behavioral and Brain Sciences 21 (2):204-204.
Richard J. Harris (1998). “With Friends Like This . . .”: Three Flaws in Chow's Defense of Significance Testing. Behavioral and Brain Sciences 21 (2):202-203.
Henry Rouanet (1998). Significance Testing in a Bayesian Framework: Assessing Direction of Effects. Behavioral and Brain Sciences 21 (2):217-218.
Zeno G. Swijtink (1998). A Plea for Popperian Significance Testing. Behavioral and Brain Sciences 21 (2):220-221.
Fred L. Bookstein (1998). Statistical Significance Testing Was Not Meant for Weak Corroborations of Weaker Theories. Behavioral and Brain Sciences 21 (2):195-196.
Brian D. Haig (2000). Statistical Significance Testing, Hypothetico-Deductive Method, and Theory Evaluation. Behavioral and Brain Sciences 23 (2):292-293.
Edward Erwin (1998). The Logic of Null Hypothesis Testing. Behavioral and Brain Sciences 21 (2):197-198.
Siu L. Chow (1998). The Null-Hypothesis Significance-Test Procedure is Still Warranted. Behavioral and Brain Sciences 21 (2):228-235.
Michael G. Shafto (1998). Costs and Benefits of Statistical Significance Tests. Behavioral and Brain Sciences 21 (2):218-219.
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