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The number of correct partial knowledge items was significantly greater on correct (M = 0.61, SD = 0.28) than incorrect (M = 0.45, SD = 0.19) recognition trials [t(24) = 3.59, p (two-tailed) to the area under the receiver operating characteristic selleck chemicals (ROC) curve (Macmillan and Creelman, 1991; Norman and Price, 2015). An Az score of 1 indicates a perfect positive relationship between FoK and recognition performance, and a score of 0.5 indicates random responding. The mean Az score was 0.55 (SD = 0.09), which is significantly above the 0.5 chance level [t(24) = 2.62, p (two-tailed) = 0.02, r = 0.47]. Overall, FoK was therefore predictive of recognition accuracy. However, further analysis showed that FoK only predicted recognition performance with above-chance accuracy on trials where there was some correct Azastene partial knowledge. For each participant, two additional Az scores were calculated between FoK and recognition performance. One included only incorrect recall trials on which some correct partial knowledge was reported (mean number of trials = 17.4, SD = 6.1), and one included only those trials where no correct partial knowledge was reported (mean number of trials = 33.7, SD = 7.9). For trials lacking any correct partial knowledge, Az (M = 0.51, SD = 0.12) was not different from chance [t(24) = 0.23, p (two-tailed) = 0.82], which indicates non-predictive FoK. In contrast, for trials where correct partial knowledge was reported (M = 0.59, SD = 0.12), FoK was a significant selleck products predictor of recognition [t(21) = 3.53, p (two-tailed)