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A multinomial modeling analysis of memory deficits in Alzheimer's disease and vascular dementia
Author(s)William H Batchelder, Jamie Chosak-Reiter, W Rodman Shankle
Journal titleThe Journals of Gerontology Series B: Psychological sciences and social sciences, vol 52B, no 5, September 1997
Pagespp P206-P215
KeywordsDementia ; Memory and Reminiscence ; Measurement ; Evaluation.
AnnotationIt is widely recognised that people diagnosed with Alzheimer's disease are impaired in explicit or declarative memory tasks, such as recognition and recall. The aim of this study was to introduce a simple method for understanding the underlying processes in memory recall performance. A new statistical model was used - general processing tree modelling (GPT) - a form of multinomial modelling of categorical data, on data from the immediate recall task of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological test battery. Results showed that the patterns of success and failure of recall to individual items across successive trials contained much more information than the marginal trial-to-trial performance scores traditionally used in scoring the test.
Accession NumberCPA-971125282 A
ClassmarkEA: DB: 3R: 4C

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