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- W4230272908 abstract "This chapter focuses on the reverse perspective of false negatives, that is, the failure to find confirmatory evidence for a hypothesis that is actually true. The terms “false positive” and “false negative” belong to a statistical decision theory. The chapter talks about dialectics of allegedly correct and wrong decisions in statistical hypothesis testing. A good example of a premature rejection of an allegedly wrong hypothesis can be found in recent literature on the implicit-association test. A correct rejection, based on any statistical threshold of acceptance, can by definition only be as good as the operationalization of the studied variables. While hits and correct rejections can mislead researchers into resting on their laurels and refraining from more systematic tests of sufficient and necessary conditions, the seemingly unwanted cases of false positives and false negatives are also ambivalent." @default.
- W4230272908 created "2022-05-11" @default.
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- W4230272908 date "2017-02-03" @default.
- W4230272908 modified "2023-09-26" @default.
- W4230272908 title "False Negatives" @default.
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- W4230272908 doi "https://doi.org/10.1002/9781119095910.ch4" @default.
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