Schmank Christopher J, Goring Sara Anne, Kovacs Kristof, Conway Andrew R A
Department of Psychology, Claremont Graduate University, Claremont, CA 91711, USA.
Institute of Psychology, ELTE Eotvos Lorand University, 1064 Budapest, Hungary.
J Intell. 2021 Feb 5;9(1):8. doi: 10.3390/jintelligence9010008.
In a recent publication in the Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network models, which is to improve compatibility between psychological theories and statistical models of intelligence. WAIS-IV data provided by McFarland were reanalyzed using latent variable and psychometric network modeling. The results are consistent with our previous study and show that a latent variable model and a network model both provide an adequate fit to the WAIS-IV. We therefore argue that model preference should be determined by theory compatibility. Theories of intelligence that posit a general mental ability (general intelligence) are compatible with latent variable models. More recent approaches, such as mutualism and process overlap theory, reject the notion of general mental ability and are therefore more compatible with network models, which depict the structure of intelligence as an interconnected network of cognitive processes sampled by a battery of tests. We emphasize the importance of compatibility between theories and models in scientific research on intelligence.
在丹尼斯·麦克法兰最近发表的一篇文章中，他错误地描述了之前使用潜变量和心理测量网络模型来研究智力结构的研究。文中指出并讨论了麦克法兰提出的误解。我们重申并阐明了我们之前关于网络模型研究的目标，即提高心理理论与智力统计模型之间的兼容性。我们使用潜变量和心理测量网络模型对麦克法兰提供的韦氏成人智力量表第四版（WAIS-IV）数据进行了重新分析。结果与我们之前的研究一致，表明潜变量模型和网络模型都能很好地拟合WAIS-IV数据。因此，我们认为模型的选择应该由理论兼容性决定。假设存在一般心理能力（一般智力）的智力理论与潜变量模型兼容。而最近的一些方法，如共生主义和过程重叠理论，摒弃了一般心理能力的概念，因此与网络模型更兼容，网络模型将智力结构描述为由一系列测试所采样的认知过程的相互连接网络。我们强调在智力科学研究中理论与模型之间兼容性的重要性。
