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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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Integrating Recursive and Non-Recursive Models in Experimental Mediation Analysis 递归模型与非递归模型在实验中介分析中的整合
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-26 DOI: 10.1080/10705511.2025.2604033
Sang-June Park, Youjae Yi
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引用次数: 0
Selecting the Correct RI-CLPM Using Chi-Square-Type Tests and AIC-Type Criteria 使用卡方检验和aic标准选择正确的RI-CLPM
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-26 DOI: 10.1080/10705511.2025.2592831
Chuenjai Sukpan, Rebecca M. Kuiper
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引用次数: 0
A Bayesian Synthesis Approach to Structural Equation Modeling Data Fusion for the Analysis of Massive Data 面向海量数据分析的结构方程建模数据融合贝叶斯综合方法
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-26 DOI: 10.1080/10705511.2025.2609973
Xinyu Liu, Katerina Marcoulides, Hannah Hamling
{"title":"A Bayesian Synthesis Approach to Structural Equation Modeling Data Fusion for the Analysis of Massive Data","authors":"Xinyu Liu, Katerina Marcoulides, Hannah Hamling","doi":"10.1080/10705511.2025.2609973","DOIUrl":"https://doi.org/10.1080/10705511.2025.2609973","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"3 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071971","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
A Comparison of Methods for Testing Measurement Invariance with Unbalanced Data 不平衡数据测量不变性检验方法的比较
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-20 DOI: 10.1080/10705511.2025.2591420
Po-Yi Chen, Tzu-Yang Chao
{"title":"A Comparison of Methods for Testing Measurement Invariance with Unbalanced Data","authors":"Po-Yi Chen, Tzu-Yang Chao","doi":"10.1080/10705511.2025.2591420","DOIUrl":"https://doi.org/10.1080/10705511.2025.2591420","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"16 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146005587","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
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
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2594605
Kyungmin Lim, Minjoo Kim, Su-Young Kim
{"title":"Principles and Procedures for Generating Non-Normal Data Using Mixture Models","authors":"Kyungmin Lim, Minjoo Kim, Su-Young Kim","doi":"10.1080/10705511.2025.2594605","DOIUrl":"https://doi.org/10.1080/10705511.2025.2594605","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"1 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920406","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
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
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2599980
Ming-Chi Tseng
{"title":"The Construction of a Growth Model with Residual Structure Equation Modeling: An Example Analysis","authors":"Ming-Chi Tseng","doi":"10.1080/10705511.2025.2599980","DOIUrl":"https://doi.org/10.1080/10705511.2025.2599980","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"60 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920525","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
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
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2597284
Lijuan Wang, Yuan Fang, Cindy S. Bergeman
{"title":"Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches","authors":"Lijuan Wang, Yuan Fang, Cindy S. Bergeman","doi":"10.1080/10705511.2025.2597284","DOIUrl":"https://doi.org/10.1080/10705511.2025.2597284","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"22 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920014","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
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
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2026-01-05 DOI: 10.1080/10705511.2025.2597293
Parisa Rafiee, Elizabeth Pauley, Manshu Yang
{"title":"Maximum Likelihood and Bayesian Estimation in Cross-Domain Latent Growth Curve Modeling: The Impact of Reliability, Sample Size, and Missing Data","authors":"Parisa Rafiee, Elizabeth Pauley, Manshu Yang","doi":"10.1080/10705511.2025.2597293","DOIUrl":"https://doi.org/10.1080/10705511.2025.2597293","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"3 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145920405","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
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
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2025-11-25 DOI: 10.1080/10705511.2025.2584216
Daniel McNeish
{"title":"Sensitivity of Probit Dynamic Structural Equation Models to Non-Normality of the Latent Variable Assumed to Underlie Categorical Responses","authors":"Daniel McNeish","doi":"10.1080/10705511.2025.2584216","DOIUrl":"https://doi.org/10.1080/10705511.2025.2584216","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"29 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145599390","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
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
Structural Equation Modeling: A Multidisciplinary Journal 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
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