ERIC Number: EJ1260592
Record Type: Journal
Publication Date: 2020-Jun
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1092-4388
EISSN: N/A
Predicting Montreal Cognitive Assessment Scores from Measures of Speech and Language
Wisler, Alan A.; Fletcher, Annalise R.; McAuliffe, Megan J.
Journal of Speech, Language, and Hearing Research, v63 n6 p1752-1761 Jun 2020
Purpose: This study examined the relationship between measurements derived from spontaneous speech and participants' scores on the Montreal Cognitive Assessment. Method: Participants (N = 521) aged between 64 and 97 years completed the cognitive assessment and were prompted to describe an early childhood memory. A range of acoustic and linguistic measures was extracted from the resulting speech sample. A least absolute shrinkage and selection operator approach was used to model the relationship between acoustic, lexical, and demographic information and participants' scores on the cognitive assessment. Results: Using the covariance test statistic, four important variables were identified, which, together, explained 16.52% of the variance in participants' cognitive scores. Conclusions: The degree to which cognition can be accurately predicted through spontaneously produced speech samples is limited. Statistically significant relationships were found between specific measurements of lexical variation, participants' speaking rate, and their scores on the Montreal Cognitive Assessment.
Descriptors: Cognitive Tests, Cognitive Measurement, Predictor Variables, Scores, Speech, Adults, Acoustics
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A