2006
DOI: 10.3758/bf03193819
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The influence of averaging and noisy decision strategies on the recognition memory ROC

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Cited by 47 publications
(59 citation statements)
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“…Since R/K/G are believed to reflect different levels of confidences according to one-dimensional SD models, cumulative proportions of hits and FAs on ''yes'' responses (number of RKG responses) for R (R) and R plus K (RK) were also calculated for each subject. These individual cumulative proportions were then plotted into a z space (z-ROCs) 1 in order to assess a sensitivity measure (d 0 ) for each point of the individual z-ROCs (see Malmberg & Xu, 2006) according to the priming conditions. This ROCs analysis was done in order to ascertain whether the R and K responses in our experiment were determined by distinct memory traces or could be explained by a one-dimensional SD model.…”
Section: Discussionmentioning
confidence: 99%
“…Since R/K/G are believed to reflect different levels of confidences according to one-dimensional SD models, cumulative proportions of hits and FAs on ''yes'' responses (number of RKG responses) for R (R) and R plus K (RK) were also calculated for each subject. These individual cumulative proportions were then plotted into a z space (z-ROCs) 1 in order to assess a sensitivity measure (d 0 ) for each point of the individual z-ROCs (see Malmberg & Xu, 2006) according to the priming conditions. This ROCs analysis was done in order to ascertain whether the R and K responses in our experiment were determined by distinct memory traces or could be explained by a one-dimensional SD model.…”
Section: Discussionmentioning
confidence: 99%
“…ROC results from humans and rats have provided evidence for a memory threshold when subjects are required to retrieve arbitrary associations from memory (8)(9)(10)(11), but other studies have reported evidence more in favor of signal detection theory, particularly in tests of item recognition where subjects must discriminate between old and new items (12,13). However, ROC shape can be influenced by various confounding factors, such as ceiling and truncation effects, that complicate the interpretation of those results (14,15). What is needed is an alternative method that can arbitrate between these different theories.…”
mentioning
confidence: 99%
“…This range, according to signal detection theory, is always from (0, 0) to (1, 1), not inclusive. To construct an ROC, one must, therefore, obtain several HR-FAR pairs that correspond to different levels of bias (Green & Swets, 1966;Macmillan & Creelman, 2005;Malmberg, 2002;Malmberg & Xu, 2006). This is most often accomplished using a confidence ratings task (Egan, 1958;Macmillan & Creelman, 2005;Malmberg, 2002).…”
mentioning
confidence: 99%