Bayesian Analysis In Mplus : A Brief Introduction
Bayesian Analysis In Mplus : A Brief Introduction
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作者：
B. Muthén
本文通过一系列的例子来介绍如何在Mplus中进行贝叶斯分析。这些示例包括估计间接效应的中介模型、结构方程模型、估计随机截距方差的二级回归模型、具有大量潜在变量的多指标二元增长模型、两部分增长模型和混合模型。它展示了 Mplus 图形的使用如何提供有关估计、收敛和模型拟合的信息。使用最大似然法和加权最小二乘法与频率估计进行比较。数据和 Mplus 脚本可在 Mplus 网站上获取。
This paper uses a series of examples to give an introduction to how Bayesian analysis is carried out in Mplus. The examples are a mediation model with estimation of an indirect effect, a structural equation model, a two-level regression model with estimation of a random intercept variance, a multiple-indicator binary growth model with a large number of latent variables, a two-part growth model, and a mixture model. It is shown how the use of Mplus graphics provides information on estimates, convergence, and model fit. Comparisons are made with frequentist estimation using maximum likelihood and weighted least squares. Data and Mplus scripts are available on the Mplus website.