A rubric for extracting idea density from oral language samples

Vineeta Chand, Kathleen Baynes, Lisa M. Bonnici, Sarah E Tomaszewski Farias

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

While past research has demonstrated that low idea density (ID) scores from natural language samples correlate with late life risk for cognitive decline and Alzheimer's disease pathology, there are no published rubrics for collecting and analyzing language samples for idea density to verify or extend these findings into new settings. This unit outlines the history of ID research and findings, discusses issues with past rubrics, and then presents an operationalized method for the systematic measurement of ID in language samples, with an extensive manual available as a supplement to this unit (Analysis of Idea Density, AID). Finally, reliability statistics for this rubric in the context of dementia research on aging populations and verification that AID can replicate the significant association between ID and late-life cognition are presented.

Original languageEnglish (US)
Article number10.5
JournalCurrent Protocols in Neuroscience
Volume1
Issue numberSUPPL.58
DOIs
StatePublished - Jan 2012

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Language
Research
Cognition
Dementia
Alzheimer Disease
History
Pathology
Population
Cognitive Dysfunction

Keywords

  • Cognitive reserve
  • Idea density
  • Language
  • Zheimer's disease semantics

ASJC Scopus subject areas

  • Neuroscience(all)
  • Medicine(all)

Cite this

A rubric for extracting idea density from oral language samples. / Chand, Vineeta; Baynes, Kathleen; Bonnici, Lisa M.; Tomaszewski Farias, Sarah E.

In: Current Protocols in Neuroscience, Vol. 1, No. SUPPL.58, 10.5, 01.2012.

Research output: Contribution to journalArticle

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