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- W2048449977 abstract "Researchers are often interested in testing the that the effects of treatments, interventions, and so on are negligibly small rather than testing the that treatments have no effect whatsoever. A number of procedures for conducting such tests have been suggested but have yet to be widely adopted. In this article, simple methods of testing such minimum-effect hypotheses are illustrated in a variety of applications of the general linear model. Tables and computational routines that can be used in conjunction with the familiar F test to evaluate the that the effects of treatments or interventions exceed some minimum level are also provided. One of the most common statistical procedures in the behavioral and social sciences is to test the that treatments or interventions have no effect, or that the correlation between two variables is equal to zero, and so on. Cohen (1994) referred to these procedures as hypothesis tests, a label that differentiates them from the more general category of null tests (which allow researchers to test the that the difference between two treatments is equal to any specific figure, including but not limited to zero) and that makes it explicit that this particular class of tests is used to evaluate the plausibility of the that treatments or interventions have no true effect whatsoever. Although nil tests are extremely common, there is a substantial controversy about their value and meaning (Chow, 1988; Cohen, 1994; Cortina & Dunlap, 1997; Cowles, 1989; Harlow, Mulaik, & Steiger, 1997; Meehl, 1978; Morrison & Henkel, 1970; Murphy, 1990; Schmidt, 1992, 1996). One of the many criticisms of nil tests is that they ask the wrong question. That is, these tests ask whether treatments, interventions, and so forth have any effect. The question many researchers (especially those interested in the application of science to solve practical problems) want to ask is whether the" @default.
- W2048449977 created "2016-06-24" @default.
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- W2048449977 date "1999-01-01" @default.
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- W2048449977 title "Testing the hypothesis that treatments have negligible effects: Minimum-effect tests in the general linear model." @default.
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- W2048449977 doi "https://doi.org/10.1037//0021-9010.84.2.234" @default.
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