Statistical Significance Testing.

By J. Mclean, A. Kaufman. 1998

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Null hypothesis significance testing: a review of an old and continuing controversy. (2000, background): “Schmidt and Hunter (1997; Schmidt, 1996) have also argued that requiring researchers to use large enough samples to ensure high power is neither a practical nor desirable solution to the problems of NHST.”
Correlation, Causation, Motivation, and Second Language Acquisition (2000, background): “This isn't simply a mathematical axiom, a logical argument, or something that can occur only in Monte Carlo simulations, as has been claimed in the literature (Harris, 1997; Hunter, 1997; Schmidt, 1996).”
Using confidence intervals for graphically based data interpretation. (2003, background): “Null hypothesis significance testing (NHST), although hotly debated in the psychological literature on statistical analysis (e.g., Chow, 1998; Cohen, 1990, 1994; Hagen, 1997; Hunter, 1997; Lewandowsky & Maybery, 1998; Loftus, 1991, 1993, 1996, 2002; Schmidt, 1996), is not likely to go away any time ”