The correct rejection fraction is the probability that the hypothesis test rejects and the screening test with the larger observed area under the curve is the screening test with larger true area under the curve.
Signal detection theory calls these faithful matches a "hit" and a "correct rejection", respectively.
Correct rejection rates for the 4-, 5-, 20-, and 100-point confidence scales were.67,.73,.64, and.63, respectively.
Interestingly, the N2 was more consistent between walking sessions, compared to sitting, for both hits and correct rejection trials.
Table 1 Matrix of possible responses, where UPPER CASE = correct responses Word Non-word Yes HIT False alarm No Miss CORRECT REJECTION.
There was no difference between groups in terms of overall correct rejection rates, F 3,92) = .74, p = .531, η2 p = .02.02
Although the difference between the correct rejection rate at the two prevalence rates was significant, there was a larger effect of prevalence on hit rate.
Previous studies reported heterogeneous findings in working memory tasks when examining differences between correct recognition (targets) and correct rejection (non-targets).
We first examined whether the groups differed from one another in correct rejection rates through one-way between-subjects ANOVA, and no difference was found among groups, F 3,92) = 1.68, p = .173, η2 p = .05.05
Conversely, if the stimulus was not studied before but the participant responds positively, then this is a false alarm, and if the participant responds negatively, it is a correct rejection.
In contrast, we found that conformity effects on hits were significantly stronger than on correct rejection.
