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Exploring Memory Impairment in the Dementias with Psychologically-Motivated Hierarchical Bayesian Models.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Exploring Memory Impairment in the Dementias with Psychologically-Motivated Hierarchical Bayesian Models./
作者:	Pooley, James P.
面頁冊數:	1 online resource (92 pages)
附註:	Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.
標題:	Clinical psychology. -
電子資源:	click for full text (PQDT)
ISBN:	9781303716676

Exploring Memory Impairment in the Dementias with Psychologically-Motivated Hierarchical Bayesian Models.
Pooley, James P.

Exploring Memory Impairment in the Dementias with Psychologically-Motivated Hierarchical Bayesian Models. - 1 online resource (92 pages)

Source: Dissertation Abstracts International, Volume: 75-05(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2013.

Includes bibliographical references

In order to diagnose and assess the progression of Alzheimer's disease and related disorders (ADRD), clinicians make use of recognition and free recall memory tasks familiar to any experimental psychologist. However, the analysis of data from such tasks in clinical settings often resorts to the use of ad hoc summaries, such as using only the number of correctly recognized words to characterize performance on a recognition memory task. Decades of work in experimental psychology has not only showed that such ad hoc characterizations of memory data are typically inadequate, it has resulted in myriad of formal models describing the cognitive processes that produce such data that clinicians could use instead of their ad hoc summaries. However, experimental psychologists have typically worked hard to eliminate many of the "quirks" observed in clinical data, such as the presence of vast individual differences; thus, it is unclear how their memory models will work when taken outside of the laboratory and exposed to "the real world." In this dissertation, we review our explorations applying hierarchical Bayesian versions of simple models from the memory literature in experimental psychology to large data sets resulting from the clinical assessment of ADRD.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781303716676Subjects--Topical Terms:

649607
Clinical psychology.
Index Terms--Genre/Form:

554714
Electronic books.

Exploring Memory Impairment in the Dementias with Psychologically-Motivated Hierarchical Bayesian Models.
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504 $a Includes bibliographical references
520 $a In order to diagnose and assess the progression of Alzheimer's disease and related disorders (ADRD), clinicians make use of recognition and free recall memory tasks familiar to any experimental psychologist. However, the analysis of data from such tasks in clinical settings often resorts to the use of ad hoc summaries, such as using only the number of correctly recognized words to characterize performance on a recognition memory task. Decades of work in experimental psychology has not only showed that such ad hoc characterizations of memory data are typically inadequate, it has resulted in myriad of formal models describing the cognitive processes that produce such data that clinicians could use instead of their ad hoc summaries. However, experimental psychologists have typically worked hard to eliminate many of the "quirks" observed in clinical data, such as the presence of vast individual differences; thus, it is unclear how their memory models will work when taken outside of the laboratory and exposed to "the real world." In this dissertation, we review our explorations applying hierarchical Bayesian versions of simple models from the memory literature in experimental psychology to large data sets resulting from the clinical assessment of ADRD.
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538 $a Mode of access: World Wide Web
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