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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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Evaluation of Structural Equation Model Forests Performance to Identify Omitted Influential Covariates 评估结构方程模型森林识别被忽略的影响变量的性能
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-11-07 DOI: 10.1080/10705511.2024.2417866
John Alexander Silva Díaz, Moritz Heene, Andreas M. Brandmaier
Model misspecification is typical in applied structural equation modeling (SEM). Traditional specification search methods, such as modification indices, search for misspecifications within the mode...
在应用结构方程建模(SEM)中,模型失范是一种典型现象。传统的规范搜索方法,如修正指数,会在模式内搜索错误规范...
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引用次数: 0
Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach 使用三步估计法处理潜类分析中的缺失数据
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-10-29 DOI: 10.1080/10705511.2024.2410240
Sarah Depaoli, Fan Jia, Marieke Visser
This study specifically focuses on addressing the challenges related to employing missing data techniques when estimating a conditional Latent Class Analysis (LCA) model. In the context of a condit...
本研究特别关注在估算条件潜类分析(LCA)模型时采用缺失数据技术所面临的挑战。在有条件潜类分析模型的背景下,缺失数据是一个重要的问题。
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引用次数: 0
The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches 测量误差对小样本结构方程模型假设检验的影响:各种估计方法的比较
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-10-29 DOI: 10.1080/10705511.2024.2398759
Jasper Bogaert, Wen Wei Loh, Florian Schuberth, Yves Rosseel
Researchers seeking valid statistical inference in the presence of measurement error often apply approaches that ignore measurement error. This may result in biased estimates, inflated type I error...
在存在测量误差的情况下,寻求有效统计推断的研究人员通常会采用忽略测量误差的方法。这可能会导致偏差估计、I 型误差膨胀......
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引用次数: 0
Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling 用贝叶斯结构方程模型中的修正指数评估局部模型的不规范性
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-10-29 DOI: 10.1080/10705511.2024.2413128
Mauricio Garnier-Villarreal, Terrence D. Jorgensen
Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are used to modify the original model. In the modification process, the modif...
模型评估是 SEM 的关键步骤,包括两大方面:全局拟合和局部拟合,其中局部拟合指数用于修改原始模型。在修改过程中,修改...
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引用次数: 0
Dynamic Structural Equation Modeling with Cycles 循环动态结构方程模型
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-10-22 DOI: 10.1080/10705511.2024.2406510
Bengt Muthén, Tihomir Asparouhov, Loes Keijsers
Cyclical phenomena are commonly observed in many areas of repeated measurements, especially with intensive longitudinal data. A typical example is circadian (24-hour) rhythm of physical measures su...
在许多重复测量领域,特别是在密集的纵向数据中,经常可以观察到周期现象。一个典型的例子是物理测量的昼夜(24 小时)节律。
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引用次数: 0
A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes 捕捉心理过程动态特征变化中的个体差异的分层自回归模型的发展
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-10-03 DOI: 10.1080/10705511.2024.2402328
Yanling Li, Lindy Williams, Chelsea Muth, Saeideh Heshmati, Sy-Miin Chow, Zita Oravecz
Several methodological innovations have been advanced in the past decades that combine growth curve models (GCMs) with models of autoregressive (AR) processes. However, most of these approaches do ...
在过去的几十年中,有几项方法创新将增长曲线模型(GCM)与自回归(AR)过程模型相结合。然而,这些方法大多 ...
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引用次数: 0
Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples 小样本全等主分层的模型估计方法
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-25 DOI: 10.1080/10705511.2024.2402331
Sooyong Lee, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker
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...
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。
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引用次数: 0
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach 潜向量自回归建模:逐步估计法
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-25 DOI: 10.1080/10705511.2024.2398034
Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover, Leonie V. D. E. Vogelsmeier
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measu...
研究人员经常研究日常生活中潜在变量的动态过程,例如随着时间的推移积极和消极情绪的相互作用。一种直观的方法是首先估算出测量值,然后再对测量值进行分析。
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引用次数: 0
Review of Measurement Theory and Applications for the Social Sciences 社会科学的测量理论与应用》回顾
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-24 DOI: 10.1080/10705511.2024.2395364
Haley Hall
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)
发表于《结构方程建模》:多学科期刊》(2024 年提前出版)
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引用次数: 0
Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models 评估指定错误的元分析结构方程模型中相关矩阵的异质性
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-09 DOI: 10.1080/10705511.2024.2389400
Christian Bloszies, Tobias Koch
Meta-analytic structural equation modeling (MASEM) techniques are increasingly common tools to synthesize data across multiple studies. One popular approach is two-step MASEM, where study correlati...
元分析结构方程建模(MASEM)技术日益成为综合多项研究数据的常用工具。其中一种流行的方法是两步式 MASEM,即研究的相关性、相关性和相关性之间的关系。
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引用次数: 0
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Structural Equation Modeling: A Multidisciplinary Journal
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