一种结构方程建模方法,用于将可变性建模为潜在变量。

IF 7.6 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Psychological methods Pub Date : 2024-04-01 Epub Date: 2022-04-11 DOI:10.1037/met0000477
Yi Feng, Gregory R Hancock
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引用次数: 0

摘要

根据结构方程建模的最新发展,当前的研究提出了一个解决研究问题的分析框架,其中,直接研究兴趣的是个体内(或群体内)变异性,而不是关注平均值。除了仅作为现有多级建模方法的替代方案外,该框架还允许扩展,以通过将变异性参数化为潜在变量来适应各种复杂的研究场景,而潜在变量又可以嵌入到涉及其他观察到的和/或潜在变量的更广泛的协方差和均值结构中。讨论了潜在随机变异性模型的估计过程和参数解释。通过四个经验例子证明了所提出方法的多功能性。提供了用于说明性示例的Mplus、BUGS和Stan模型语法,以便于这些方法的应用。(PsycInfo数据库记录(c)2022 APA,保留所有权利)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A structural equation modeling approach for modeling variability as a latent variable.

Drawing upon recent developments in structural equation modeling, the current study presents an analytical framework for addressing research questions in which, rather than focusing on means, it is intraindividual (or intragroup) variability that is of direct research interest. Beyond merely serving as an alternative to existing multilevel modeling approaches, this framework allows for extensions to accommodate a variety of complex research scenarios by parameterizing variability as a latent variable that can in turn be embedded within a broader covariance and mean structure involving other observed and/or latent variables. The estimation procedures and parameter interpretation for the latent random variability models are discussed. The versatility of the proposed methods is demonstrated through four empirical examples. The Mplus, BUGS, and Stan model syntax for the illustrative examples are supplied to facilitate the application of the methods. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊
Psychological methods
Psychological methods PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
13.10
自引率
7.10%
发文量
159
期刊介绍: Psychological Methods is devoted to the development and dissemination of methods for collecting, analyzing, understanding, and interpreting psychological data. Its purpose is the dissemination of innovations in research design, measurement, methodology, and quantitative and qualitative analysis to the psychological community; its further purpose is to promote effective communication about related substantive and methodological issues. The audience is expected to be diverse and to include those who develop new procedures, those who are responsible for undergraduate and graduate training in design, measurement, and statistics, as well as those who employ those procedures in research.
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