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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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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
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs 多层次因子混合建模:多层次结构教程
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-05 DOI: 10.1080/10705511.2024.2332257
Chunhua Cao, Yan Wang, Eunsook Kim
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterog...
多层次因素混合模型(FMM)是多层次确证因素分析(CFA)和多层次潜类分析(LCA)的混合体。它允许研究人员检查人口异质性。
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引用次数: 0
To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling 要长还是要宽:数据格式如何影响多层次结构方程模型的收敛性和估计精度
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-27 DOI: 10.1080/10705511.2024.2320050
Julia-Kim Walther, Martin Hecht, Benjamin Nagengast, Steffen Zitzmann
A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect the...
两级数据集的结构可以是长格式(LF)或宽格式(WF),两者都有相应的 SEM 方法来估计多级模型。从直观上讲,人们可能会认为...
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引用次数: 0
Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling 使用 SymPy(符号 Python)理解结构方程模型
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-27 DOI: 10.1080/10705511.2024.2325122
Joel S. Steele, Kevin J. Grimm
Structural Equation Modeling (SEM) continues to grow in popularity with numerous articles, books, courses, and workshops available to help researchers become proficient with SEM quickly. However, f...
结构方程建模 (SEM) 越来越受到人们的欢迎,大量的文章、书籍、课程和研讨会帮助研究人员快速熟练掌握 SEM。然而,对于研究人员来说,...
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引用次数: 0
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Structural Equation Modeling: A Multidisciplinary Journal
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