Lucidi Annalisa, Loaiza Vanessa, Camos Valérie, Barrouillet Pierre
a Université de Genève.
J Gen Psychol. 2014;141(2):98-112. doi: 10.1080/00221309.2013.870121.
Working memory (WM) capacity measured through complex span tasks is among the best predictors of fluid intelligence (Gf). These tasks usually involve maintaining memoranda while performing complex cognitive activities that require a rather high level of education (e.g., reading comprehension, arithmetic), restricting their range of applicability. Because individual differences in such complex activities are nothing more than the concatenation of small differences in their elementary constituents, complex span tasks involving elementary processes should be as good of predictors of Gf as traditional tasks. The present study showed that two latent variables issued from either traditional or new span tasks involving time-constrained elementary activities were similarly correlated with Gf. Moreover, a model with a single unitary WM factor had a similar fit as a model with two distinct WM factors. Thus, time-constrained elementary activities can be integrated in WM tasks, permitting the assessment of WM in a wider range of populations.
通过复杂广度任务测量的工作记忆(WM)容量是流体智力(Gf)的最佳预测指标之一。这些任务通常涉及在执行需要较高教育水平的复杂认知活动(如阅读理解、算术)时保持记忆,从而限制了它们的适用范围。由于此类复杂活动中的个体差异只不过是其基本组成部分的微小差异的串联,涉及基本过程的复杂广度任务应该与传统任务一样是Gf的良好预测指标。本研究表明,源自涉及时间限制基本活动的传统或新广度任务的两个潜在变量与Gf的相关性相似。此外,具有单一统一WM因素的模型与具有两个不同WM因素的模型具有相似的拟合度。因此,时间限制基本活动可以整合到WM任务中,从而允许在更广泛的人群中评估WM。