Toward an alternative representation for disentangling age-associated differences in general and specific cognitive abilities.

Toward an alternative representation for disentangling age-associated differences in general and specific cognitive abilities.
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寻找一种替代的表征来消除与年龄相关的一般和特定认知能力的差异。

DOI:
10.1037/0882-7974.19.1.40
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发表时间:
2004
影响因子:
3.7
通讯作者:
Shu
Shu
中科院分区:
心理学2区
文献类型:
--
作者:
F. Schmiedek;Shu

文献摘要

参考文献

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许多认知衰老研究关注的是,各种认知表现中与年龄相关的差异是否可以通过一般解释结构来解释,或者是否涉及几个特定过程。人们提出了结构方程模型来理清与年龄相关的认知表现的一般和特定差异。本文表明,采用逐步程序的现有方法存在使结果偏向一般资源账户的风险。提出了另一种模型表示(即嵌套因子模型),它可以同时估计一般效应和特定效应,并应用于柏林老龄化研究的数据。使用嵌套因素模型,作者发现除了一般因素之外,特定群体因素还解释了 25% 的年龄相关方差。
Much of cognitive aging research concerns whether age-associated differences in various cognitive performances can be accounted for by general explanatory constructs or whether several specific processes are involved. Structural equation models have been proposed to disentangle general and specific age-associated differences in cognitive performance. This article demonstrates that existing methods that employ stepwise procedures run the risk of biasing results toward general resource accounts. An alternative model representation (i.e., the nested factor model) is proposed that affords simultaneous estimation of general and specific effects and is applied to data from the Berlin Aging Study. Using the nested factor model allowed the authors to detect that specific group factors explained 25% of the age-associated variance in addition to the general factor.
与年龄相关的认知和非认知变量具有共同的影响。
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