ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2017, Vol. 25 ›› Issue (10): 1675-1681.doi: 10.3724/SP.J.1042.2017.01675

• 研究方法 • 上一篇    下一篇

 预设路径模型及其在认知心理学研究中的应用

 任学柱1;  王腾飞2;  Karl Schweizer 3   

  1.  (1华中科技大学教育科学研究院, 武汉 430074) (2浙江大学心理与行为科学系, 杭州 310028) (3 Department of Psychology, Goethe University Frankfurt, Frankfurt a. M. 60323)
  • 收稿日期:2016-08-24 出版日期:2017-10-15 发布日期:2017-08-13
  • 通讯作者: 王腾飞, E-mail: tfwang@zju.edu.cn E-mail: E-mail: tfwang@zju.edu.cn
  • 基金资助:
     全国教育科学规划项目(CBA150153)。

 Fixed-links modeling and its application in cognitive psychology research

 REN Xuezhu1; WANG Tengfei2; Karl Schweizer3   

  1.  (1 School of Education, Huazhong University of Science & Technology, Wuhan 430074, China) (2 Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou 310028, China) (3 Department of Psychology, Goethe University Frankfurt, Frankfurt a. M. 60323, Germany)
  • Received:2016-08-24 Online:2017-10-15 Published:2017-08-13
  • Contact: WANG Tengfei, E-mail: tfwang@zju.edu.cn E-mail: E-mail: tfwang@zju.edu.cn
  • Supported by:
     

摘要:  预设路径模型(Fixed-links modeling)是在结构方程模型框架下发展出的用于分析心理学实验数据的统计模型。该类模型的主要特征是根据前期理论基础和实验设计, 通过预先设定模型中显变量与潜变量之间的因素载荷矩阵实现对显变量方差的拆分。因素载荷矩阵的设定主要基于实验水平与所表征的心理过程之间的关系, 选取相应函数来表征不同实验水平之间的变化趋势。该模型在表征工作记忆、注意和学习的内部加工过程及揭示不同认知过程的具体联系中发挥了重要作用。

关键词:  预设路径模型, 实验操控, 因素载荷设定, 认知过程

Abstract:  Fixed-links modeling (FLM) is theory-guided statistical modeling for the purpose of analyzing experimental data in the framework of structural equation modeling (SEM). The main characteristic of a fixed-links model is that the loadings of the manifest variables on the latent ones are pre-fixed according to theory-based expectations. The fixation of loadings enables the decomposition of variances and covariances originating from experimental data into several parts each representing a unique source of variances. The loadings are frequently constrained according to functions that reflect the relationship between treatment levels and underlying cognitive processes. FLM has been widely used in representing processes underlying working memory, attention, and learning. It also plays an important part in investigating the relationships among these abilities and their sources.

Key words:  fixed-links modeling, experimental manipulation, loading setting, cognitive process

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