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- W2022812372 abstract "Estimatingd′ from extreme false-alarm or hit proportions (p = 0 orp = 1) requires the use of a correction, because thez score of such proportions takes on infinite values. Two commonly used corrections are compared by using Monte-Carlo simulations. The first is the 1/(2N) rule for which an extreme proportion is corrected by this factor befored′ is calculated. The second is the log-linear rule for which each cell frequency in the contingency table is increased by 0.5 irrespective of the contents of each cell. Results showed that the log-linear rule resulted in less biased estimates ofd′ that always underestimated populationd′. The 1/(2N) rule, apart from being more biased, could either over- or underestimate populationd′." @default.
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- W2022812372 date "1995-03-01" @default.
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- W2022812372 title "Corrections for extreme proportions and their biasing effects on estimated values ofd′" @default.
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- W2022812372 doi "https://doi.org/10.3758/bf03203619" @default.
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