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Scientific evidence. Scientific evidence is evidence that serves to either support or counter a scientific theory or hypothesis, [1] although scientists also use evidence in other ways, such as when applying theories to practical problems. [2] Such evidence is expected to be empirical evidence and interpretable in accordance with the scientific ...
Confirmation bias (also confirmatory bias, myside bias, [a] or congeniality bias[2]) is the tendency to search for, interpret, favor, and recall information in a way that confirms or supports one's prior beliefs or values. [3] People display this bias when they select information that supports their views, ignoring contrary information, or when ...
Convergent validity. Convergent validity in the behavioral sciences refers to the degree to which two measures that theoretically should be related, are in fact related. [1] Convergent validity, along with discriminant validity, is a subtype of construct validity. Convergent validity can be established if two similar constructs correspond with ...
Two Dogmas of Empiricism. " Two Dogmas of Empiricism " is a paper by analytic philosopher Willard Van Orman Quine published in 1951. According to University of Sydney professor of philosophy Peter Godfrey-Smith, this "paper [is] sometimes regarded as the most important in all of twentieth-century philosophy ". [1]
The statement being tested in a test of statistical significance is called the null hypothesis. The test of significance is designed to assess the strength of the evidence against the null hypothesis, or a statement of 'no effect' or 'no difference'. [2] It is often symbolized as H0. The statement that is being tested against the null ...
A thing is evidence for a proposition if it epistemically supports this proposition or indicates that the supported proposition is true. Evidence is empirical if it is constituted by or accessible to sensory experience. There are various competing theories about the exact definition of the terms evidence and empirical. Different fields, like ...
The phrase " correlation does not imply causation " refers to the inability to legitimately deduce a cause-and-effect relationship between two events or variables solely on the basis of an observed association or correlation between them. [1][2] The idea that "correlation implies causation" is an example of a questionable-cause logical fallacy ...
For example, direct proof can be used to prove that the sum of two even integers is always even: Consider two even integers x and y. Since they are even, they can be written as x = 2a and y = 2b, respectively, for some integers a and b. Then the sum is x + y = 2a + 2b = 2(a+b). Therefore x+y has 2 as a factor and, by definition, is even. Hence ...