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Tutorial for Bayesian Multilevel Structural Equation Modeling Using Blimp
DOI:10.1080/10705511.2025.2526035.png)
摘要
En 中文
This tutorial paper introduces the implementation of Multilevel Structural Equation Modeling (MSEM) using Blimp, a free, user-friendly, and flexible software for Bayesian estimation. Aimed at readers with some familiarity with MSEM and Bayesian methods, the tutorial walks through the specifications of a basic multilevel model in Blimp, progressively incorporating latent variables, random slopes, contextual effects, and moderated mediation effects. For illustrative purposes, we use a simulated multilevel dataset to examine the association between teacher-student relationships, students’ interest in math, and students’ math achievement.
Keyword:
multilevel structural equation modeling
blimp
Bayesian estimation
random slope
contextual effect
moderated mediation
期刊
S
IF:
3.2
论文数:
96
被引数:
2.1W
机构
暂无机构信息
引用论文
The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective贝叶斯新统计: 贝叶斯视角下的假设检验、估计、元分析和能力分析

