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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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Causal Mediation Analysis with the Parallel Process Latent Growth Curve Mediation Model 利用平行过程潜在增长曲线中介模型进行因果中介分析
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-06-26 DOI: 10.1080/10705511.2024.2347588
Xiao Liu, Lijuan Wang
{"title":"Causal Mediation Analysis with the Parallel Process Latent Growth Curve Mediation Model","authors":"Xiao Liu, Lijuan Wang","doi":"10.1080/10705511.2024.2347588","DOIUrl":"https://doi.org/10.1080/10705511.2024.2347588","url":null,"abstract":"In parallel process latent growth curve mediation models, the mediation pathways from treatment to the intercept or slope of outcome through the intercept or slope of mediator are often of interest...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"24 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141877586","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
An Alternative Prior for Estimation in High-Dimensional Settings 高维环境下的另一种估计先验
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-06-25 DOI: 10.1080/10705511.2023.2281279
Michael Nagel, Lukas Fischer, Tim Pawlowski, Augustin Kelava
{"title":"An Alternative Prior for Estimation in High-Dimensional Settings","authors":"Michael Nagel, Lukas Fischer, Tim Pawlowski, Augustin Kelava","doi":"10.1080/10705511.2023.2281279","DOIUrl":"https://doi.org/10.1080/10705511.2023.2281279","url":null,"abstract":"Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichle...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"53 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141557187","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
Investigating Latent Interaction Effects in Multiple-Group Analysis in the Structural Equation Modeling Framework 在结构方程模型框架下调查多组分析中的潜在交互效应
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-06-25 DOI: 10.1080/10705511.2024.2363827
Suyoung Kim, Sooyong Lee, Jiwon Kim, Tiffany A. Whittaker
{"title":"Investigating Latent Interaction Effects in Multiple-Group Analysis in the Structural Equation Modeling Framework","authors":"Suyoung Kim, Sooyong Lee, Jiwon Kim, Tiffany A. Whittaker","doi":"10.1080/10705511.2024.2363827","DOIUrl":"https://doi.org/10.1080/10705511.2024.2363827","url":null,"abstract":"This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for e...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"17 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141730626","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
SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design 采用 SEM 方法对双条件被试内设计进行中介分析
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-06-18 DOI: 10.1080/10705511.2024.2358819
Eujin Park, Changsoon Park
{"title":"SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design","authors":"Eujin Park, Changsoon Park","doi":"10.1080/10705511.2024.2358819","DOIUrl":"https://doi.org/10.1080/10705511.2024.2358819","url":null,"abstract":"The effects of the two-condition within-subject (TCWS) conditional mediation model are developed using the SEM approach. The structural equation model for the within-subject mediator and the within...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"51 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141436066","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
Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models 使用结构嵌套均值模型的跨滞后面板研究中的联合效应
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-06-17 DOI: 10.1080/10705511.2024.2355579
Jeroen D. Mulder, Satoshi Usami, Ellen L. Hamaker
{"title":"Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models","authors":"Jeroen D. Mulder, Satoshi Usami, Ellen L. Hamaker","doi":"10.1080/10705511.2024.2355579","DOIUrl":"https://doi.org/10.1080/10705511.2024.2355579","url":null,"abstract":"A popular approach among psychological researchers for investigating causal relationships from panel data is cross-lagged panel modeling within the structural equation modeling (SEM) framework. How...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"56 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141334212","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
Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests 加强 SEM 中的模型拟合度评估：优化 Chi-Square 检验的实用技巧
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-06-10 DOI: 10.1080/10705511.2024.2354802
Bang Quan Zheng, Peter M. Bentler
{"title":"Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests","authors":"Bang Quan Zheng, Peter M. Bentler","doi":"10.1080/10705511.2024.2354802","DOIUrl":"https://doi.org/10.1080/10705511.2024.2354802","url":null,"abstract":"This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"1 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141334190","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
Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties 结构方程模型的矩阵分解法作为协方差结构分析的替代方法及其理论特性
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-05-31 DOI: 10.1080/10705511.2024.2342381
Naoto Yamashita
{"title":"Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties","authors":"Naoto Yamashita","doi":"10.1080/10705511.2024.2342381","DOIUrl":"https://doi.org/10.1080/10705511.2024.2342381","url":null,"abstract":"Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM a...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"11 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141246362","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
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models 双因素模型分析中的最小效应检验、等效检验和常规零假设检验
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2347592
Shunji Wang, Katerina M. Marcoulides, Jiashan Tang, Ke-Hai Yuan
{"title":"Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models","authors":"Shunji Wang, Katerina M. Marcoulides, Jiashan Tang, Ke-Hai Yuan","doi":"10.1080/10705511.2024.2347592","DOIUrl":"https://doi.org/10.1080/10705511.2024.2347592","url":null,"abstract":"A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"72 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141246312","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
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators 利用贝叶斯模型平均法对模型隐含工具变量两阶段最小二乘法估计器进行最佳工具选择
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2343926
Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen
{"title":"Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators","authors":"Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen","doi":"10.1080/10705511.2024.2343926","DOIUrl":"https://doi.org/10.1080/10705511.2024.2343926","url":null,"abstract":"Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estim...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"36 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141309110","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
Can We Differentiate a Latent Growth Curve Model from Competitors? Evidence Based on Individual Case Residuals 我们能否将潜在增长曲线模型与竞争对手区分开来？基于个案残差的证据
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-05-28 DOI: 10.1080/10705511.2024.2350033
Dan Wei, Peida Zhan, Hongyun Liu
{"title":"Can We Differentiate a Latent Growth Curve Model from Competitors? Evidence Based on Individual Case Residuals","authors":"Dan Wei, Peida Zhan, Hongyun Liu","doi":"10.1080/10705511.2024.2350033","DOIUrl":"https://doi.org/10.1080/10705511.2024.2350033","url":null,"abstract":"In latent growth curve modeling (LGCM), overall fit indices have garnered increased disputation for model selection, and model fit evaluation based on the mean structure has becoming popularity. Th...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"307 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141246275","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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