Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples

IF 2.5 2区心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-25 DOI:10.1080/10705511.2024.2402331

Sooyong Lee, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker

引用次数: 0

Abstract

This study investigated the performance of Bayesian fully-latent principal stratification (FLPS) models in estimating causal and principal effects in small-sample randomized control trials (RCTs) a...

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小样本全等主分层的模型估计方法

本研究调查了贝叶斯全潜伏主分层（FLPS）模型在估计小样本随机对照试验（RCT）的因果效应和主效应方面的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Structural Equation Modeling: A Multidisciplinary Journal 数学-数学跨学科应用

CiteScore

8.70

自引率

11.70%

发文量

审稿时长

>12 weeks

期刊介绍： Structural Equation Modeling: A Multidisciplinary Journal publishes refereed scholarly work from all academic disciplines interested in structural equation modeling. These disciplines include, but are not limited to, psychology, medicine, sociology, education, political science, economics, management, and business/marketing. Theoretical articles address new developments; applied articles deal with innovative structural equation modeling applications; the Teacher’s Corner provides instructional modules on aspects of structural equation modeling; book and software reviews examine new modeling information and techniques; and advertising alerts readers to new products. Comments on technical or substantive issues addressed in articles or reviews published in the journal are encouraged; comments are reviewed, and authors of the original works are invited to respond.