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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches 测量不变量测试的新发展:基于 EFA 方法的概述与比较
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-05 DOI: 10.1080/10705511.2024.2393647
Philipp Sterner, Kim De Roover, David Goretzko
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently...
在比较潜在变量的关系和均值时,必须建立测量不变性(MI)。大多数评估 MI 的方法都基于确证因子分析(CFA)。最近...
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引用次数: 0
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research 在模拟研究中使用总分时得出模型参数的预期值
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-05 DOI: 10.1080/10705511.2024.2376330
A. R. Georgeson
There is increasing interest in using factor scores in structural equation models and there have been numerous methodological papers on the topic. Nevertheless, sum scores, which are computed from ...
人们对在结构方程模型中使用因子得分的兴趣与日俱增,有关这一主题的方法论论文也层出不穷。尽管如此,由...
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引用次数: 0
A Structural After Measurement Approach to Bifactor Predictive Models 双因素预测模型的结构后测量法
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-05 DOI: 10.1080/10705511.2024.2385951
Jinsoo Choi, Sunbeom Kwon, Bo Zhang
The bifactor model is becoming a popular tool for modeling hierarchical constructs. However, the bifactor predictive model, which uses both the general factor and all group factors to predict a cri...
双因素模型正在成为建立层次结构模型的流行工具。然而,双因素预测模型同时使用一般因素和所有群体因素来预测一个关键因素。
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引用次数: 0
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos 利用多变量贝叶斯拉索在部分确认潜在变量模型框架下进行研究设计和模型估计
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-04 DOI: 10.1080/10705511.2024.2392618
Jinsong Chen, Yifan Zhang
This research builds upon existing developments of the partially confirmatory approach by introducing predictors and regularizations to two additional parameter matrices: structural and differentia...
这项研究以部分确认法的现有发展为基础,为两个额外的参数矩阵(结构矩阵和差异矩阵)引入了预测因子和正则化。
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引用次数: 0
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect 中介效应的高效调整联合显著性检验和索贝尔置信区间
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-09-04 DOI: 10.1080/10705511.2024.2392139
Haixiang Zhang
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of th...
中介分析是许多研究领域的重要统计工具,其中联合显著性检验被广泛用于考察中介效应。然而,联合显著性检验的局限性也是不言而喻的。
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引用次数: 0
Review of Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (6th ed.) 教育和心理学研究与评估》评论:用定量、定性和混合方法整合多样性》(第 6 版)
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-08-09 DOI: 10.1080/10705511.2024.2382759
Yosva Yosvi Br. Simbolon
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
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix 通过样本协方差矩阵正则化缩小多层次结构方程模型中的小样本问题
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-08-09 DOI: 10.1080/10705511.2024.2380919
Julia-Kim Walther, Martin Hecht, Steffen Zitzmann
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such...
小样本量对多层次结构方程建模(SEM)中组间水平参数估计的收敛性和准确性构成严重威胁。然而,在某些情况下,如...
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引用次数: 0
On the Estimation of Fit Indices for the Structural Part of a Model 论模型结构部分拟合指数的估算
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-08-05 DOI: 10.1080/10705511.2024.2371347
Keke Lai
When a researcher proposes an SEM model to explain the dynamics among some latent variables, the real question in model evaluation is the fit of the model’s structural part. A composite index that ...
当研究人员提出一个 SEM 模型来解释一些潜在变量之间的动态关系时,模型评估的真正问题是模型结构部分的拟合度。一个综合指标可以 ...
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引用次数: 0
The Impact of “Negligible” Cross-Loadings in Investigations of Measurement Invariance with MGCFA and MGESEM 使用 MGCFA 和 MGESEM 调查测量不变量时 "可忽略的 "交叉负荷的影响
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-08-05 DOI: 10.1080/10705511.2024.2375742
Timothy R. Konold, Elizabeth A. Sanders, Kelvin Afolabi
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigr...
测量不变性(MI)是效度证据的一个重要组成部分,其目的是确保测试在不同群体、不同环境和不同时间内都能发挥类似的功能。对 MI 的大多数评估都涉及到多群体和多时间的测量。
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引用次数: 0
A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model 关于随机截距交叉滞后面板模型中人与人之间虚幻成分出现的说明
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-07-29 DOI: 10.1080/10705511.2024.2379495
Alexander Robitzsch, Oliver Lüdtke
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes....
随机截距交叉滞后面板模型(RICLPM)将两个过程 X 和 Y 之间的纵向关联分解为稳定的人际关联和时间性的人内变化....
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引用次数: 0
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Structural Equation Modeling: A Multidisciplinary Journal
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