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3 - Age Differences and Individual Differences in Cognitive Functions

Published online by Cambridge University Press:  20 May 2010

Klaus Oberauer
Affiliation:
University of Potsdam, Allgemeine Psychologie I, Postfach 60 15 53, 14415 Potsdam, Germany
Randall W. Engle
Affiliation:
Georgia Institute of Technology
Grzegorz Sedek
Affiliation:
Warsaw School of Social Psychology and Polish Academy of Sciences
Ulrich von Hecker
Affiliation:
Cardiff University
Daniel N. McIntosh
Affiliation:
University of Denver
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Summary

Here is a pair of very simplistic hypotheses: (1) Differences among groups or individuals in cognitive performance can all be reduced to a single source, for instance, general intelligence. (2) This source is the same for all comparisons among groups of individuals that differ in broad cognitive functioning (e.g., children vs. adults, younger vs. older adults, healthy vs. cognitively impaired populations) such that the pattern of differences across various indicators of cognitive performance will be the same for every such group contrast.

In their plain form, these statements are certainly wrong. In a moderated version, however, they both have considerable merit. Cross-sectional comparisons of young adults (around 20 years of age) and older adults (age 60 and above), for instance, show that older age is associated with reduced cognitive performance across a wide variety of tasks, and a large portion of the age variance can be accounted for by a single factor in structural equation models (Salthouse, 1996; Lindenberger, Mayr, & Kliegl, 1993). Likewise, individual differences in cognitive abilities can to a large degree be captured by the g factor of intelligence (Jensen, 1998), which in turn is strongly associated with working memory capacity (Engle, Tuholski, Laughlin, & Conway, 1999; Kyllonen, 1996; Süß, Oberauer, Wittmann, Wilhelm, & Schulze, 2002). Research on the aging of cognition has also shown that the pattern of age differences across a broad set of speeded tasks can often be described by a simple linear function: older adults' latencies equal younger adults' latencies on the same tasks or conditions, multiplied by a constant slowing factor (Cerella, 1985) or incremented by a constant (Verhaeghen & Cerella, 2002).

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Publisher: Cambridge University Press
Print publication year: 2005

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