Van Der Maas Han L J, Kan Kees-Jan, Marsman Maarten, Stevenson Claire E
Psychological Methods, University of Amsterdam, Nieuwe Achtergracht 129B, 1018 WX Amsterdam, The Netherlands.
Research Institute of Child Development and Education, University of Amsterdam, Nieuwe Achtergracht 127, 1018 WS Amsterdam, The Netherlands.
J Intell. 2017 Apr 20;5(2):16. doi: 10.3390/jintelligence5020016.
Cronbach's (1957) famous division of scientific psychology into two disciplines is still apparent for the fields of cognition (general mechanisms) and intelligence (dimensionality of individual differences). The welcome integration of the two fields requires the construction of mechanistic models of cognition and cognitive development that explain key phenomena in individual differences research. In this paper, we argue that network modeling is a promising approach to integrate the processes of cognitive development and (developing) intelligence into one unified theory. Network models are defined mathematically, describe mechanisms on the level of the individual, and are able to explain positive correlations among intelligence subtest scores-the empirical basis for the well-known g-factor-as well as more complex factorial structures. Links between network modeling, factor modeling, and item response theory allow for a common metric, encompassing both discrete and continuous characteristics, for cognitive development and intelligence.
克龙巴赫（1957年）将科学心理学著名地划分为两个学科，这在认知（一般机制）和智力（个体差异维度）领域仍然很明显。这两个领域令人欣喜的整合需要构建认知和认知发展的机制模型，以解释个体差异研究中的关键现象。在本文中，我们认为网络建模是一种很有前景的方法，可将认知发展过程和（发展中的）智力整合为一个统一的理论。网络模型在数学上有定义，描述个体层面的机制，并且能够解释智力子测验分数之间的正相关——著名的g因素的实证基础——以及更复杂的因子结构。网络建模、因子建模和项目反应理论之间的联系为认知发展和智力提供了一个涵盖离散和连续特征的通用度量。
