结构方程建模
验证性因素分析
潜变量
多元统计
光学(聚焦)
计量经济学
统计模型
多元分析
统计
统计分析
心理学
计算机科学
数学
物理
光学
作者
Gibbs Y. Kanyongo,Nandini Bhowmick,Eric Williams
出处
期刊:WTM-Verlag eBooks
[WTM-Verlag]
日期:2022-01-01
卷期号:: 254-255
标识
DOI:10.37626/ga9783959872188.0.046
摘要
This workshop will expose participants to the statistical technique of Structural Equation Modeling (SEM), with a focus on confirmatory factor analysis (CFA), using the statistical software AMOS. Structural equation modeling is a multivariate statistical analysis technique that is used to analyze structural relationships. Confirmatory Factor Analysis examines whether collected data fit a hypothesized model of what the data are meant to measure. It is the measurement part of SEM, which shows relationships between latent variables and the observed variables.
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