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Ornstein-Uhlenbeck diffusion processes. The model is fit to confidence judgments and quantile response times from two recognition memory experiments that manipulated word frequency and speed versus accuracy ...
The author compared high- and low-threshold discrete-state models of recognition memory in terms of their ability to account for confidence and response time (RT) data. The 2-high threshold (2HT), 1 ...
We examined the effects of aging on performance in an item- recognition experiment with confidence judgments. A model for confidence judgments and response time (RTs; Ratcliff & Starns, 2013) was used ...
fMRI analyses of correct old responses on the basis of subjective confidence ratings or estimates from single- versus dual-process recognition memory models . Overall, the effect of focussing attention ...
time as a measure of retrieval fluency which is an important cue utilized in confidence formation process. However, the drift diffusion model (DDM) indicates that response time in recognition memory test ...
Recognition memory is typically examined as a discrete end-state, describable by static variables, such as accuracy, response time , and confidence . In the present study, we combined real- time mouse ...
. 120, No. 3, 697–719 0033-295X/13/$12.00 DOI: 10.1037/a0033152 THEORETICAL NOTE Modeling Confidence Judgments, Response Times , and Multiple Choices in Decision Making: Recognition Memory and Motion ...
confidence and AUC for both hits and correct rejections. We interpret these results within dynamic models of recognition memory . ...
Three recognition memory experiments were conducted using modified Deese—Roediger McDermott (DRM) and DRM paradigms. In Experiment 1, the reaction time (RT) of the false alarms to critical ...
. The present study replicates and extends Province andRouder’s findings at the level of confidence -rating responses as well astheir associated response times . Model -mimicry simulations are also reported ...
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