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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models 双因素模型分析中的最小效应检验、等效检验和常规零假设检验
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2347592
Shunji Wang, Katerina M. Marcoulides, Jiashan Tang, Ke-Hai Yuan
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a ...
应用双因素模型的一个必要步骤是评估是否需要有一般因素的领域因素。传统的零假设检验(NHT)通常用于这种评估。
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引用次数: 0
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators 利用贝叶斯模型平均法对模型隐含工具变量两阶段最小二乘法估计器进行最佳工具选择
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2343926
Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estim...
模型插入式工具变量两阶段最小二乘法(MIIV-2SLS)是一种信息有限、逐方程、非迭代的潜变量模型估计方法。与这种估计方法相关的...
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引用次数: 0
Can We Differentiate a Latent Growth Curve Model from Competitors? Evidence Based on Individual Case Residuals 我们能否将潜在增长曲线模型与竞争对手区分开来?基于个案残差的证据
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2350033
Dan Wei, Peida Zhan, Hongyun Liu
In latent growth curve modeling (LGCM), overall fit indices have garnered increased disputation for model selection, and model fit evaluation based on the mean structure has becoming popularity. Th...
在潜增长曲线建模(LGCM)中,用于模型选择的总体拟合指数引起了越来越多的争议,而基于均值结构的模型拟合度评估则越来越受欢迎。这...
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引用次数: 0
Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions 在确证因子分析中,因子载荷的符号是任意的吗?问题与解决方案
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2351102
Dandan Tang, Steven M. Boker, Xin Tong
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing fact...
社会和行为科学领域的复制危机引发了人们对实证研究可靠性和有效性的担忧。虽然文献中的研究探讨了造成这种情况的事实......
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引用次数: 0
Applying Benford’s Law for Assessing the Validity of Social Science Data 应用本福德定律评估社会科学数据的有效性
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2342379
Ademola B. Ajayi
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
Investigating Structural Model Fit Evaluation 结构模型拟合度评估调查
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2350023
Xijuan Zhang, Hao Wu
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing...
完整的结构方程模型 (SEM) 通常由测量模型(描述潜在变量与观察量表项目之间的关系)和结构模型(描述潜在变量与观察量表项目之间的关系)两部分组成。
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引用次数: 0
A Causal Framework for the Comparability of Latent Variables 潜变量可比性的因果框架
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-30 DOI: 10.1080/10705511.2024.2339396
Philipp Sterner, Florian Pargent, Dominik Deffner, David Goretzko
Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful gro...
测量不变性(MI)描述的是构念的测量模型在不同组别或时间之间的等效性。在比较潜在均值时,MI 通常被视为有意义的沟槽的先决条件...
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引用次数: 0
Augmented Bifactor Models and Bifactor-(S-1) Models are Identical. A Comment on Zhang, Luo, Zhang, Sun & Zhang (2023) 增强双因子模型和双因子(S-1)模型是相同的。对 Zhang, Luo, Zhang, Sun & Zhang (2023) 的评论
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-30 DOI: 10.1080/10705511.2024.2339387
Tobias Koch, Michael Eid
In a recent study, Zhang et al. (2023) proposed the augmented oblique bifactor model as a new methodological contribution, in which an oblique bifactor model is augmented by one or more indicator(s...
在最近的一项研究中,Zhang 等人(2023 年)提出了增强斜双因子模型作为一种新的方法论贡献。
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引用次数: 0
Review of Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.) 社会科学定量方法》评论:附 R 示例的实用入门(第 2 版)
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-16 DOI: 10.1080/10705511.2024.2322726
Virginia Rosa da Silva
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
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling 处理测量误差和遗漏的混杂因素,考虑中介模型中混杂效应的信息量
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-10 DOI: 10.1080/10705511.2023.2270167
Qian Zhang, Qi Wang
In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders...
在文章中,我们重点讨论了在实验研究中进行中介分析时的测量误差和遗漏混杂因素问题。根据混杂因素的信息量...
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引用次数: 0
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Structural Equation Modeling: A Multidisciplinary Journal
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