Download Advances in Clinical Cognitive Science: Formal Modeling of by Richard W J Neufeld PDF

By Richard W J Neufeld

A number of the ideas of quantitative cognitive technology carry promise for helping people who have difficulties in residing. more and more, those studiesare showing in mainstream clinical-science and clinical-practice journals. The members to this quantity show off fertile medical functions of quantitative cognitive technological know-how in charting abnormalities between teams and participants: additionally they convey how readers can follow those ideas of their personal learn, checks and perform. The members are cognitive scientist who've officially modeled clinically proper facets of cognitive functioning between precise populations as wellas medical scientists who've tailored strategies of quantitative cognitive technological know-how to boost their scientific examine and evaluate.

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Extra info for Advances in Clinical Cognitive Science: Formal Modeling of Processes And Symptoms

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Second, unlike the result in Riefer et al. (2002), the statistical inferences made from the simulated data might not have matched the inferences made by pooling the data over participants. In this case, one would not be able to draw any conclusions from the analyses of the pooled data without some additional procedure. In this section, we provide several approaches to handle the problem of individual differences. First, we describe a test for the presence of individual differences in the participants that can be applied to the raw category frequencies.

1999) also explored another issue relevant to source monitoring: the role of response bias. In a source-monitoring task, people must identify old versus new items and assign them to different sources. Response bias can play an important role in this process, because people may have a tendency to favor their responses toward one source over another or have a tendency to exhibit a large number of false identifications to new items (Riefer, Hu, & Batchelder, 1994). One of the advantages of formal mathematical models of source monitoring is that they are capable of separately measuring, and thus factoring out, the various response biases inherent in this task.

This test consists of a series of line drawings of familiar objects, and individuals are asked to provide the name for each object. Chosak-Reiter (2000) developed and tested an MPT model that is capable of measuring underlying cognitive processes in this task. She applied the model to AD patients and individuals with cerebrovascular dementia, plus a comparable control group. 's (1997) study, Chosak-Reiter's model was able to differentiate between very mild levels of AD and cerebrovascular dementia compared with the control group.

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