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Related Experiment Video

Updated: May 9, 2026

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
04:30

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Published on: October 25, 2019

Propositional idea density in women's written language over the lifespan: computerized analysis.

Alison Ferguson1, Elizabeth Spencer2, Hugh Craig3

  • 1Faculty of Education and Arts, University of Newcastle, Australia; CCRE in Aphasia Rehabilitation, Australia.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|July 10, 2013
PubMed
Summary

Written language informativeness, measured by Propositional Idea Density (PD), showed a small age-related decline in older women. Education level did not significantly impact PD, suggesting relative stability across the adult lifespan.

Keywords:
AgingCorpus linguisticsIdea DensityLanguage declinePropositional Density

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Area of Science:

  • Linguistics
  • Gerontology
  • Cognitive Science

Background:

  • Propositional Idea Density (PD) is a measure of written language informativeness.
  • Previous research indicates PD can predict language decline with age and dementia.
  • The current study examines age and education effects on PD in women.

Purpose of the Study:

  • To investigate the influence of age and education on written language informativeness (PD).
  • To analyze PD in three distinct age cohorts of women.
  • To assess PD stability across the adult lifespan.

Main Methods:

  • Utilized data from the Australian Longitudinal Study on Women's Health.
  • Analyzed over 2.5 million words from 37,705 written responses using Computerized Propositional Idea Density Rater 3 (CPIDR-3).
  • Employed a linear mixed model approach, controlling for relevant factors.

Main Results:

  • A small but statistically significant age effect was found in the oldest cohort (mean age 78).
  • Mean PD per word was lower in the oldest cohort compared to younger cohorts.
  • No statistically significant effect of education level on PD was observed.

Conclusions:

  • Written language informativeness (PD) appears relatively stable across the adult lifespan, even into late old age.
  • Computerized analysis significantly aids in studying large language corpora.
  • Further research is needed to explore PD variability for identifying language pathologies.