在传统结构方程模型框架内,估算和研究有角色和无角色的多结构多指标社会关系模型:教程。

IF 7.6 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Psychological methods Pub Date : 2024-10-01 Epub Date: 2022-10-13 DOI:10.1037/met0000534
David Jendryczko, Fridtjof W Nussbeck
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引用次数: 0

摘要

本论文提供了通过结构方程建模(SEM)估算社会关系模型(SRM)的教程。在 SEM 的总体框架中,无角色 SRM(可互换的二人组)是有角色 SRM(不可互换的二人组)的一种限制性更强的形式。我们从最简单的 SRM 模型(由一个显性循环指标评估一个潜在构造)开始,展示了如何将该模型扩展到由多个指标测量的多个构造。我们用模拟数据说明了有角色和无角色的多构式多指标 SEM SRM,并解释了参数解释。我们介绍了如何将对实质性模型假设的测试与对二元组互换性的测试区分开来。此外,我们还指出了一些建模策略,这些策略适用于小组中只有部分成员的角色可以区分的情况(即只有部分小组成员不可互换)。在在线补充材料中,我们提供了具体建模问题及其在统计软件(Mplus、lavaan 和 OpenMx)中实现的具体示例。我们还讨论了与其他建模方案相比的优势、注意事项、可能的扩展和局限性。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.

The present contribution provides a tutorial for the estimation of the social relations model (SRM) by means of structural equation modeling (SEM). In the overarching SEM-framework, the SRM without roles (with interchangeable dyads) is derived as a more restrictive form of the SRM with roles (with noninterchangeable dyads). Starting with the simplest type of the SRM for one latent construct assessed by one manifest round-robin indicator, we show how the model can be extended to multiple constructs each measured by multiple indicators. We illustrate a multiple constructs multiple indicators SEM SRM both with and without roles with simulated data and explain the parameter interpretations. We present how testing the substantial model assumptions can be disentangled from testing the interchangeability of dyads. Additionally, we point out modeling strategies that adhere to cases in which only some members of a group can be differentiated with regards to their roles (i.e., only some group members are noninterchangeable). In the online supplemental materials, we provide concrete examples of specific modeling problems and their implementation into statistical software (Mplus, lavaan, and OpenMx). Advantages, caveats, possible extensions, and limitations in comparison with alternative modeling options are discussed. (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.
期刊最新文献
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