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Aging and Predicting Inferences: A Diffusion Model Analysis.

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Older adults equally make predictive inferences from texts as younger adults. This study found no significant differences in inference encoding strength between age groups.

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Area of Science:

  • Cognitive Psychology
  • Discourse Processing
  • Aging Research

Background:

  • Previous research suggests older adults may struggle with text comprehension and memory compared to younger adults.
  • Discourse processing theories posit that readers make inferences to understand texts.
  • Predictive inferences, crucial for coherence, are a key area of investigation in text comprehension.

Purpose of the Study:

  • To investigate whether older adults (60-90 years) make predictive inferences from texts to the same extent as college-age adults.
  • To quantitatively compare the strength of inference encoding between different age groups.

Main Methods:

  • Participants (older and college-age adults) read sentences requiring predictive inferences.
  • A lexical decision task was used to assess whether inferred words (e.g., 'dead') were recognized as having appeared in the text.
  • A sequential sampling diffusion model analyzed response times and accuracy to quantify inference encoding strength.

Main Results:

  • Older adults and college-age adults demonstrated comparable performance in making predictive inferences.
  • The diffusion model revealed no significant differences in the strength of inference encoding between the two age groups.
  • Both age groups exhibited similar patterns in processing inferred information.

Conclusions:

  • Contrary to some prior claims, older adults do not appear to be less adept at making predictive inferences from texts.
  • Age does not significantly impact the strength with which predictive inferences are encoded during discourse processing.
  • These findings contribute to a more nuanced understanding of cognitive aging and text comprehension.