首页 | 本学科首页   官方微博 | 高级检索  
     


How shared are age-related influences on cognitive and noncognitive variables?
Authors:Allen  Philip A; Hall  Rosali J; Druley  Jennifer A; Smith  Albert F; Sanders  Raymond E; Murphy  Martin D
Abstract:Several theories have suggested that age-related declines in cognitive processing are due to a pervasive unitary mechanism, such as a decline in processing speed. Structural equation model tests have shown some support for such common factor explanations. These results, however, may not be as conclusive as previously claimed. A further analysis of 4 cross-sectional data sets described in T. Salthouse, D. Hambrick, and K. McGuthry (1998) and T. Salthouse and S. Czaja (2000) found that although the best fitting model included a common factor in 3 of the data sets, additional direct age paths were significant, indicating the presence of specific age effects. For the remaining data set, a factor-specific model fit at least as well as the best fitting common factor model. Three simulated data sets with known structure were then tested with a sequence of structural equation models. Common factor models could not always be falsified-even when they were false. In contrast, factor-specific models were more easily falsified when the true model included a unitary common factor. These results suggest that it is premature to conclude that all age-related cognitive declines are due to a single mechanism. Common factor models may be particularly difficult to falsify with current analytic procedures. (PsycINFO Database Record (c) 2010 APA, all rights reserved)
Keywords:aging  age differences  cognitive ability  cognitive functioning  cognitive decline  models  structural equation modeling
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号