结构方程模型在英语阅读语料库中的研究

该文从建立基础型英语阅读语料库(English Reading Corpus,ERC),然后采用结构方程模型(Structural EquationModeling,SEM)及语言统计学方法,从英语阅读语料库的语篇复杂度、学习者个体的信息获取水平及情感因素三方面进行了建模及相关关系的探索性研究,在数据统计和分析的基础上,找到了满足置信度及可拟合的数学模型,以期能对英语阅读教学和学习有所启示。在通过对SEM的ERC建模之后的数据进行全面、准确的统计分析,能够为提高英语阅读教学质量提供有价值的统计数据和分析资料。

Research on Structural Equation Modeling in English Reading Corpus

First, this paper establishes the Basic English Reading Corpus （ERC）, then through using Structural Equation Modeling （SEM） and Language Statistics Method, it builds a model and researches some related issues from three aspects--discourse complexity, individual＇s lever of information acquisition and emotional factors which are based on ERC. According to the data statistics and analysis, this paper finds an ideal model which can satisfy the data confidence and fitting. It hopes that this model will initiate to English reading teaching and learning. After comprehensive and precise statistic analyzing through establishing the ERC of SEM model, the paper provides the valuable statistic data and analysis information for improving English reading teaching and learning.