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线性结构方程 meaning in Chinese

linear structural equation

Examples

  1. We analyzed the data by applying analysis of variance ( av ) , multiple stepwise regression analysis ( msra ) , canonical correlation analysis ( cca ) and so on . additionally , new developing statistical method , linear structural relations ( l1srel ) , was employed to throw light on the substantial acting mechanism
    应用传统的(协)方差分析、多元逐步回归分析、主成分回归分析、岭回归分析、判别分析和典型相关分析等统计方法对影响学习成绩的因素进行分析,并采用新近发展的线性结构方程模型( linearstructuralrelations , lisrel )分析影响学习成绩的? ?各个因素并探讨其影响机制。
  2. The purpose of this study is to examine the model of school adjustment of students with learning disabilities and general students in senior and / or vocational high schools questionnaires are used in this study , which includes 234 students with learning disabilities and 234 general students in senior and / or vocational high schools the data was analyzed using t - test , two - way anova , and structural equation model the results of the study are described as followings : 1
    摘要本研究旨在探讨高中职学障学生和一般学生的学校适应相关因素及其验证性因素分析,问卷调查对象为高中职学障学生234位,及一般学生234位,以学校适应量表进行问卷调查,调查结果以t考验、二因子变异数分析和线性结构方程模式,进行资料之分析,研究结果如下:一、高中职学障学生整体的学校适应比一般学生要差,且在同侪关系、师生关系、学习方法、学习态度、学习习惯等分量表也比一般学生差。
  3. Secondly , through discussing system and character of compensation and analyzing the advantage of putting lisrel into compensation management for designing the appraising model of compensation incentive , the thesis studied its conception , establishing process and testing method of lisrel appraising model . thirdly , using the method of lisrel , the thesis built the lisrel model to appraise the effect on compensation incentive of employee , and clarified the method of data collecting and the testing of questionnaire
    其次,分析了薪酬的系统性结构及特征,提出把lisrel线性结构方程引入薪酬管理来构建一种新型的员工薪酬激励lisrel评价模型的构想,进一步分析了把lisrel引入薪酬管理的优越性,探讨了员工薪酬lisrel评价模型的概念、建立步骤及验证方法。第三,应用lisrel方法,构建了员工薪酬管理的lisrel评价模型,详细阐明了模型的数据收集方法和问卷的检验过程。

Related Words

  1. 虚构方程
  2. 方程书架
  3. 极方程
  4. 等温方程
  5. 方程误差
  6. 不等式方程
  7. 多项式方程
  8. 关联方程
  9. 模方程
  10. 基线方程
  11. 线性结
  12. 线性结构
  13. 线性结构因子方程组
  14. 线性结合代数
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