Categorical Latent Variable Modeling Using Mplus: Longitudinal Data* Factor analysis models* Structural equation models * Growth curve models* Multilevel modelsLinda K. MuthénBengt Muthén
三变量LCSM的实证研究例子和Mplus语句可参考Taylor等(2017)的研究。Selig和Preacher (2009)在介绍追踪研究的中介模型时,提出了一种简化的LCSM中介模型(对应的Mplus语句可在http://quantpsy.org/selig_preacher_mplus_syntax.htm中找到)。虽然这一模型可以同时探究8种可能的中介效应。但在实证研究中,应用较为广泛的...
Mplus:潜变量增长模型 热度: LATENT VARIABLE MODELS潜变量模型 热度: General Random E,ect Latent Variable Modeling:Random Subjects( Items)Contexts,and Parameters Tihomir Asparouhov and Bengt Muth´n July 18, 2012 Abstract Bayesian methodology is well-suited for estimating latent variable models where...
TheMplusAutomationpackage leverages the flexibility of theRlanguage to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthén and Muthén (www.statmodel.com). Specifically,MplusAutomationprovides routines for creating related...
Mplus代码-注释版 TITLE: This is an example of LPA; DATA: FILE IS dataLPA.dat; ! 数据文件名为dataLPA.dat VARIABLE: NAME ARE A1-A5; ! 数据文件中包含的变量 USEVARIABLES ARE A1-A5; ! 本次分析中使用的变量 MISSING ARE ALL (99); ! 定义缺失值为99 CLASSES = C(3); ! 设置类别个数,...
Raykov T, Marcoulides GA (2011) Classical item analysis using latent variable modeling: a note on a direct evaluation procedure. Struct Equ Model 18:315–324Raykov, T., & Marcoulides, G. A. (2011). Classical item analysis using latent variable modeling: A note on a direct evaluation ...
Advances in modeling software, like Mplus, as well as widening adoption of software by researchers has made LCS modeling simpler. Thus, in the present paper, we provide (1) a theoretical overview of LCS analysis, (2) information on the interpretation of these models, (3) a practical guide...
Thanks for the quick (and helpful!) responses to my earlier queries about growth modeling using MPLUS...I have found this discussion list an invaluable resource as I learn the intricacies of growth modeling. I will make sure to order Day 2's slide deck as you suggested in your response ...
Title: practise mplus for real data Data: File is h:\DS.dat; Variable: Names are id x11 x12 x21 x22 x31 x32 x41 x42; Usevariables are x11 x12 x21 x22 x31 x32 x41 x42; Missing are all (999); Model: y1 BY x11 x12 ; y2 BY x21 x22 ; y3 BY x31 x32; y4 BY x41 ...
Kunle:Mplus—潜在剖面分析(Latent Profile Modeling, LPA)(1)71 赞同 · 29 评论文章 当我们通过LPA确定最佳分类数,并且对每个类别命名后,通常还会进行后续分析,即纳入协变量(Auxiliary Variable,也称为辅助变量),分析协变量与潜在类别变量之间的关系。协变量可以充当潜在类别变量的预测变量(Predictor),也可以充当潜在...