Myerson Joel, Hale Sandra, Zheng Yingye, Jenkins Lisa, Widaman Keith F
Department of Psychology, Washington University, St. Louis, Missouri 63130, USA.
Psychon Bull Rev. 2003 Jun;10(2):262-88. doi: 10.3758/bf03196491.
A theory of diversity in speeded cognition, the difference engine, is proposed, in which information processing is represented as a series of generic computational steps. Some individuals tend to perform all of these computations relatively quickly and other individuals tend to perform them all relatively slowly, reflecting the existence of a general cognitive speed factor, but the time required for response selection and execution is assumed to be independent of cognitive speed. The difference engine correctly predicts the positively accelerated form of the relation between diversity of performance, as measured by the standard deviation for the group, and task difficulty, as indexed by the mean response time (RT) for the group. In addition, the difference engine correctly predicts approximately linear relations between the RTs of any individual and average performance for the group, with the regression lines for fast individuals having slopes less than 1.0 (and positive intercepts) and the regression lines for slow individuals having slopes greater than 1.0 (and negative intercepts). Similar predictions are made for comparisons of slow, average, and fast subgroups, regardless of whether those subgroups are formed on the basis of differences in ability, age, or health status. These predictions are consistent with evidence from studies of healthy young and older adults as well as from studies of depressed and age-matched control groups.
提出了一种关于快速认知多样性的理论——差异引擎,其中信息处理被表示为一系列通用的计算步骤。一些个体倾向于相对快速地执行所有这些计算,而其他个体则倾向于相对缓慢地执行所有计算,这反映了一个一般认知速度因素的存在,但响应选择和执行所需的时间被假定与认知速度无关。差异引擎正确地预测了以组标准差衡量的表现多样性与以组平均反应时间(RT)为指标的任务难度之间呈正加速关系的形式。此外,差异引擎正确地预测了任何个体的反应时间与组平均表现之间近似线性的关系,快速个体的回归线斜率小于1.0(且截距为正),慢速个体的回归线斜率大于1.0(且截距为负)。对于慢速、平均和快速亚组的比较也做出了类似的预测,无论这些亚组是基于能力、年龄还是健康状况的差异形成的。这些预测与来自健康年轻人和老年人研究以及抑郁症患者与年龄匹配对照组研究的证据一致。