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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T 有缺失数据的动态结构方程模型:对 N 和 T 的数据要求
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-02-22 DOI: 10.1080/10705511.2023.2287967
Yuan Fang, Lijuan Wang
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on ...
动态结构方程建模(DSEM)是分析密集纵向数据的一种有用技术。应用 DSEM 所面临的一个挑战是数据缺失问题。缺失数据对数据分析的影响...
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引用次数: 0
Measurement Invariance is Not Sufficient for Meaningful and Valid Group Comparisons: A Note on Robitzsch and Lüdtke 测量不变性不足以进行有意义和有效的小组比较:关于 Robitzsch 和 Lüdtke 的说明
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2254497
Tenko Raykov
This note demonstrates that measurement invariance does not guarantee meaningful and valid group comparisons in multiple-population settings. The article follows on a recent critical discussion by ...
本说明表明,测量不变性并不能保证在多人群环境中进行有意义和有效的群体比较。这篇文章是继最近......
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引用次数: 0
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators 应对数据池中的挑战:连续和分类指标潜在变量模型中的缺失数据处理
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2300079
Lihan Chen, Milica Miočević, Carl F. Falk
Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets e...
在实证研究中,数据汇集是一种强有力的策略。然而,合并多个数据集往往会导致大量数据缺失,因为在某些数据集中不存在的变量,例如...
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引用次数: 0
D-Scoring Method of Measurement Classical and Latent Frameworks 经典框架和潜在框架的 D-评分测量法
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2301389
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
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates 带变量的偏差调整三步多层次潜在类模型
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2300087
Johan Lyrvall, Zsuzsa Bakk, Jennifer Oser, Roberto Di Mari
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ...
我们提出了一种针对带有协变量的多层次潜类模型(LC)的偏差调整三步估计方法。该方法包括(1)拟合单层次测量模型,同时 ...
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引用次数: 0
Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores 通过基于回归的变化分数更准确地量化个人性格变化
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-30 DOI: 10.1080/10705511.2023.2274800
Steffen Zitzmann, Lisa Bardach, Kai T. Horstmann, Matthias Ziegler, Martin Hecht
We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from tw...
我们研究了三种不同的量化个人变化并将其反馈给个人的方法:(a)共同变化分数,该分数是通过首先计算两个人的量表分数,然后再计算两个人的量表分数而得到的。
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引用次数: 0
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling 利用动态结构方程模型对密集纵向数据进行中介分析
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-01-30 DOI: 10.1080/10705511.2023.2268293
Jie Fang, Zhonglin Wen, Kit-Tai Hau
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, ...
目前,动态结构方程模型(DSEM)和残差 DSEM(RDSEM)常用于测试密集纵向数据(ILD)。研究人员对 ILD 中介模型、...
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引用次数: 0
Review of Handbook of Structural Equation Modeling 结构方程模型手册》回顾
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-19 DOI: 10.1080/10705511.2023.2279905
Jam Khojasteh, Ademola Ajayi
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2023)
发表于《结构方程建模》:多学科期刊》(2023 年提前出版)
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引用次数: 0
Recovering Developmental Bivariate Trajectories in Accelerated Longitudinal Designs with Dynamic Continuous Time Modeling 用动态连续时间建模恢复加速纵向设计中的双变量发展轨迹
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-19 DOI: 10.1080/10705511.2023.2277651
Nuria Real-Brioso, Eduardo Estrada, Pablo F. Cáncer
Accelerated longitudinal designs (ALDs) provide an opportunity to capture long developmental periods in a shorter time framework using a relatively small number of assessments. Prior literature has...
加速纵向设计(ALDs)提供了一个在较短的时间框架内使用相对较少的评估来捕捉较长发展期的机会。先前的文献...
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引用次数: 0
Penalized Structural Equation Models 惩罚结构方程模型
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2023-12-19 DOI: 10.1080/10705511.2023.2263913
Tihomir Asparouhov, Bengt Muthén
Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with prev...
惩罚结构方程模型(PSEM)是一种新的强大估算技术,可用于解决各种结构估算难题。
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引用次数: 0
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Structural Equation Modeling: A Multidisciplinary Journal
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