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1997). These researchers have found that, within very old samples, more than 90% of the agerelated variance in IQ can be accounted for by differences among the elderly individuals in their sensory acuity. Although Baltes and Lindenberger found higher correlations for older than younger adult cohorts, quite substantial correlations between sensory and intellectual variables have been reported for younger adult samples as well by Salthouse and his colleagues (Salthouse, Hambrick, & McGuthrey, 1998; Salthouse, Hancock, Meinz, & Hambrick, 1996). All Wechsler Performance subtests are heavily dependent on visual acuity for interpreting the pictures and designs, and on auditory acuity for understanding the examiner s instructions. These sensory variables have generally been overlooked when trying to account for declines in Performance IQ across the entire adult life span. It is inconceivable that the dramatic declines on Gf, Gv, and Gs tasks across the life span are actually caused by declines in vision and hearing, regardless of how high the correlations are between the two. It is quite possible, however, that there is a common cause for the agerelated declines in intellectual and sensory function (Lindenberger & Baltes, 1994; Salthouse et al., 1996), a hypothesis that requires empirical research to explore what the common factor actually represents (Backman et al., 2000, p. 505).

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184 PART II INDIVIDUAL DIFFERENCES ON AGE, SOCIOECONOMIC STATUS, AND OTHER KEY VARIABLES Processing Speed Two other large-scale studies accord well with the interface of speed and cognition regarding cognitive decline with normal aging Hertzog (1989) controlled for perceptual processing speed (using measures such as rapidly finding As in strings of letters) and found that the agerelated variance in performance on other cognitive tasks was reduced by an average of 92% Salthouse, Kausler, and Saults (1988) evaluated the influence of processing speed (time required to make simple comparisons) on measures believed to assess Gf, although by Horn s (1989) expanded Gf Gc theory the measures were either primarily Gf (eg, series completion) or primarily Gv (eg, geometric analogies) For both Gf and Gv tasks, between 13% and 32% of the age differences in test performances were associated with age differences in processing speed.

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The best synthesis of the research is probably provided by Salthouse s (1992) review and summarized by Berg (2000): The results from a large number of studies..now provide moderate support for speed of processing as a resource responsible for some of the age-related differences in cognitive tasks (p 126) Deficits in processing speed, therefore, contribute to the vulnerability displayed by measures of Gv and Gf, but that contribution is best thought of as moderate For a thorough treatment of the role of information processing speed as a basic processing component needed for the performance of complex cognitive tasks, consult Salthouse (1996) Working Memory Another variable that may contribute mightily to the vulnerability of Gf and Gv variables on the Wechsler and Kaufman tests is working memory Though this construct is used to label the WAIS-III WMI, in actuality working memory is crucial for all cognitive tasks.

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This variable has been assessed with auditory and visual tasks alike, and is best thought of as the mental scratch pad that people use to temporarily store information while solving a variety of cognitive problems One s working memory capacity refers to the amount of information that each person is able to have access to on that scratch pad Salthouse (1992) used a computation span as the measure of working memory for adults ages 18 to 83 years; these adults were also administered measures of Gf (eg, Raven s Matrices) and Gv (eg, paper folding) Salthouse concluded that working memory is associated with about 50% of the age-related variance in the various measures of Gf and Gv.

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