G-DINA模型是DINA 模型的一般化模型，具有补偿性和饱和性两个主要特征。G-DINA模型的补偿性特征契合了语言测验的综合性和多元性，G-DINA模型的饱和性特征则可以比较理想地应对语言技能的抽象性和难区分性。此项研究以代表性的语言测验类型阅读测验为案例，应用G-DINA模型对1029名被试的PISA英语阅读测验结果进行实证分析，证明了两个假设：补偿饱和型认知诊断模型对多元抽象的语言测验的适应程度较高；G-DINA这一新生认知诊断模型可以被用来诊断较为复杂抽象的语言测验，且经得起统计学和语言学理论的双重考验。

G-DINA model, a generalized model of DINA model, is a compensatory and saturated cognitive diagnostic model. The compensatory characteristic of G-DINA model caters to the multidimensionality of language tests; the saturated characteristic of G-DINA model caters to the abstractness and indivisibility of language skills. Taking the reading test, a typical form of language tests, as the case study, this paper applies G-DINA model to the empirical analysis on the PISA English reading test results of 1029 British subjects. The study verifies two hypotheses: compensatory and saturated cognitive diagnostic models can fit language tests ideally; G-DINA model, a new cognitive diagnostic model, can be applied to diagnose complicated and abstract language tests and the results of analysis can be interpreted both statistically and linguistically.