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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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Principles and Procedures for Generating Non-Normal Data Using Mixture Models 使用混合模型生成非正态数据的原则和程序
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2594605
Kyungmin Lim, Minjoo Kim, Su-Young Kim
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引用次数: 0
The Construction of a Growth Model with Residual Structure Equation Modeling: An Example Analysis 用剩余结构方程模型构建增长模型:一个例子分析
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2599980
Ming-Chi Tseng
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引用次数: 0
Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches 具有密集纵向数据的动态建模:一步和两步DSEM方法
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2597284
Lijuan Wang, Yuan Fang, Cindy S. Bergeman
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引用次数: 0
Maximum Likelihood and Bayesian Estimation in Cross-Domain Latent Growth Curve Modeling: The Impact of Reliability, Sample Size, and Missing Data 跨域潜在增长曲线建模中的最大似然和贝叶斯估计:可靠性、样本量和缺失数据的影响
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2597293
Parisa Rafiee, Elizabeth Pauley, Manshu Yang
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引用次数: 0
Sensitivity of Probit Dynamic Structural Equation Models to Non-Normality of the Latent Variable Assumed to Underlie Categorical Responses 概率动态结构方程模型对潜在变量非正态性的敏感性
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-25 DOI: 10.1080/10705511.2025.2584216
Daniel McNeish
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引用次数: 0
Estimating RMSEA D (and Associated Confidence Intervals) Under Non-Normality 估计非正态下的RMSEA D(和相关置信区间)
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-25 DOI: 10.1080/10705511.2025.2581575
Yunhang Yin, Dexin Shi, Amanda J. Fairchild, Ruiqin Gao
{"title":"Estimating RMSEA D (and Associated Confidence Intervals) Under Non-Normality","authors":"Yunhang Yin, Dexin Shi, Amanda J. Fairchild, Ruiqin Gao","doi":"10.1080/10705511.2025.2581575","DOIUrl":"https://doi.org/10.1080/10705511.2025.2581575","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"10 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145599900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Temporal Asymmetry in Cross-Lagged Panel Models: Improved Causal Inference from Longitudinal Data 交叉滞后面板模型的时间不对称性:来自纵向数据的改进因果推断
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-25 DOI: 10.1080/10705511.2025.2569468
Matthew Browne, Mitchell D. Woodbright, Belinda Goodwin, Alex M. T. Russell
{"title":"Temporal Asymmetry in Cross-Lagged Panel Models: Improved Causal Inference from Longitudinal Data","authors":"Matthew Browne, Mitchell D. Woodbright, Belinda Goodwin, Alex M. T. Russell","doi":"10.1080/10705511.2025.2569468","DOIUrl":"https://doi.org/10.1080/10705511.2025.2569468","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"120 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145599389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating Statistical Power, Type I Error, and Sample Size Requirements for Representative Moderated Mediation Models 评估代表性调节中介模型的统计能力、I型误差和样本量要求
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-11-13 DOI: 10.1080/10705511.2025.2576699
Mikyung Sim, Su-Young Kim
{"title":"Evaluating Statistical Power, Type I Error, and Sample Size Requirements for Representative Moderated Mediation Models","authors":"Mikyung Sim, Su-Young Kim","doi":"10.1080/10705511.2025.2576699","DOIUrl":"https://doi.org/10.1080/10705511.2025.2576699","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"58 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145509586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quantifying Measurement Non-Invariance Beyond Simple Structure: The Closed Formulas of Universal Effect Size Measures for MI 超越简单结构的量化测量非不变性:MI通用效应量测量的封闭公式
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-10-24 DOI: 10.1080/10705511.2025.2570447
Tizian Maria Benedikt Schuhbeck, Philipp Sterner, David Goretzko
{"title":"Quantifying Measurement Non-Invariance Beyond Simple Structure: The Closed Formulas of Universal Effect Size Measures for MI","authors":"Tizian Maria Benedikt Schuhbeck, Philipp Sterner, David Goretzko","doi":"10.1080/10705511.2025.2570447","DOIUrl":"https://doi.org/10.1080/10705511.2025.2570447","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"58 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145382417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Controlling for Large Sets of Measured Confounders in Mediation Analysis: Comparison of Bayesian Model Averaging, the LASSO, and Path Analysis 在中介分析中控制大量测量混杂因素:贝叶斯模型平均、LASSO和路径分析的比较
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2025-10-10 DOI: 10.1080/10705511.2025.2559270
Milica Miočević, Denis Talbot
{"title":"Controlling for Large Sets of Measured Confounders in Mediation Analysis: Comparison of Bayesian Model Averaging, the LASSO, and Path Analysis","authors":"Milica Miočević, Denis Talbot","doi":"10.1080/10705511.2025.2559270","DOIUrl":"https://doi.org/10.1080/10705511.2025.2559270","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"19 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145260806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Structural Equation Modeling: A Multidisciplinary Journal
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