Abstract：
Carroll\'s treatise on the structure of human cognitive abilities is a milestone in psychometric intelligence research. Thirty years later, Carroll\'s work continues to influence research on intelligence theories and the development and interpretation of intelligence tests. A historical review of the relations between the 3S and CHC theories necessitates the recommendation that the theories of Cattell, Horn, and Carroll be reframed as a family of obliquely correlated CHC theories-not a single CHC theory. Next, a previously unpublished Carroll exploratory factor analysis of 46 cognitive and achievement tests is presented. A complimentary bifactor analysis is presented that reinforces Carroll\'s conclusion that his 3S model more accurately represents the structure of human intelligence than two prominent alternative models. Finally, a Carroll-recommended higher-stratum psychometric network analysis (PNA) of CHC cognitive, reading, and math variables is presented. The PNA results demonstrate how PNA can complement factor analysis and serve as a framework for identifying and empirically evaluating cognitive-achievement causal relations and mechanisms (e.g., developmental cascade and investment theories), with an eye toward improved cognitive-achievement intervention research. It is believed that Carroll, given his long-standing interest in school learning, would welcome the integration of theory-driven factor and PNA research.
摘要：
卡罗尔关于人类认知能力结构的论文是心理测量智能研究的一个里程碑。三十年后,卡罗尔的工作继续影响着智力理论的研究以及智力测试的发展和解释。对3S理论和CHC理论之间关系的历史回顾需要建议卡特尔理论，喇叭,和卡罗尔被重新定义为一个倾斜相关的CHC理论家族，而不是一个单一的CHC理论。接下来,介绍了以前未发表的46项认知和成就测试的Carroll探索性因素分析.提出了一种互补的双因素分析，这加强了卡罗尔的结论，即他的3S模型比两个突出的替代模型更准确地代表了人类智力的结构。最后,卡罗尔推荐的CHC认知的高层心理计量网络分析(PNA)，阅读,并给出了数学变量。PNA结果证明了PNA如何补充因子分析，并作为识别和实证评估认知-成就因果关系和机制的框架(例如，发展级联和投资理论)，着眼于改善认知成就干预研究。据信卡罗尔,鉴于他对学校学习的长期兴趣，将欢迎理论驱动因素和PNA研究的整合。
