Pub Date : 2024-02-16DOI: 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 ...
{"title":"Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates","authors":"Johan Lyrvall, Zsuzsa Bakk, Jennifer Oser, Roberto Di Mari","doi":"10.1080/10705511.2023.2300087","DOIUrl":"https://doi.org/10.1080/10705511.2023.2300087","url":null,"abstract":"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 ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"32 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911364","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}
Pub Date : 2024-01-30DOI: 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...
{"title":"Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores","authors":"Steffen Zitzmann, Lisa Bardach, Kai T. Horstmann, Matthias Ziegler, Martin Hecht","doi":"10.1080/10705511.2023.2274800","DOIUrl":"https://doi.org/10.1080/10705511.2023.2274800","url":null,"abstract":"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...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"184 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139728016","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}
Pub Date : 2024-01-30DOI: 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, ...
{"title":"Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling","authors":"Jie Fang, Zhonglin Wen, Kit-Tai Hau","doi":"10.1080/10705511.2023.2268293","DOIUrl":"https://doi.org/10.1080/10705511.2023.2268293","url":null,"abstract":"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, ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"17 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139733603","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}
Pub Date : 2023-12-19DOI: 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）
{"title":"Review of Handbook of Structural Equation Modeling","authors":"Jam Khojasteh, Ademola Ajayi","doi":"10.1080/10705511.2023.2279905","DOIUrl":"https://doi.org/10.1080/10705511.2023.2279905","url":null,"abstract":"Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2023)","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"8 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138770494","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}
Pub Date : 2023-12-19DOI: 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...
{"title":"Recovering Developmental Bivariate Trajectories in Accelerated Longitudinal Designs with Dynamic Continuous Time Modeling","authors":"Nuria Real-Brioso, Eduardo Estrada, Pablo F. Cáncer","doi":"10.1080/10705511.2023.2277651","DOIUrl":"https://doi.org/10.1080/10705511.2023.2277651","url":null,"abstract":"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...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"53 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138886919","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}
Pub Date : 2023-12-19DOI: 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。
{"title":"Penalized Structural Equation Models","authors":"Tihomir Asparouhov, Bengt Muthén","doi":"10.1080/10705511.2023.2263913","DOIUrl":"https://doi.org/10.1080/10705511.2023.2263913","url":null,"abstract":"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...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"1 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138886862","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}
Pub Date : 2023-12-19DOI: 10.1080/10705511.2023.2272294
Heungsun Hwang, Gyeongcheol Cho, Hosung Choo
GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with...
GSCA Pro 是用于广义结构化成分分析结构方程建模 (GSCA-SEM) 的免费、用户友好型软件，它采用三种统计方法来估计具有...
{"title":"GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling","authors":"Heungsun Hwang, Gyeongcheol Cho, Hosung Choo","doi":"10.1080/10705511.2023.2272294","DOIUrl":"https://doi.org/10.1080/10705511.2023.2272294","url":null,"abstract":"GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"112 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138770409","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}
Pub Date : 2023-12-19DOI: 10.1080/10705511.2023.2284671
Ming-Chi Tseng
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA...
{"title":"Latent Profile Transition Analysis with Random Intercepts (RI-LPTA)","authors":"Ming-Chi Tseng","doi":"10.1080/10705511.2023.2284671","DOIUrl":"https://doi.org/10.1080/10705511.2023.2284671","url":null,"abstract":"The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"39 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138770351","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}
Pub Date : 2023-12-19DOI: 10.1080/10705511.2023.2280952
Sarah Depaoli, Sonja D. Winter, Haiyan Liu
We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to de...
{"title":"Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM","authors":"Sarah Depaoli, Sonja D. Winter, Haiyan Liu","doi":"10.1080/10705511.2023.2280952","DOIUrl":"https://doi.org/10.1080/10705511.2023.2280952","url":null,"abstract":"We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to de...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"14 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138770384","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}
Pub Date : 2023-12-19DOI: 10.1080/10705511.2023.2280895
Kjorte Harra, David Kaplan
The present work focuses on the performance of two types of shrinkage priors—the horseshoe prior and the recently developed regularized horseshoe prior—in the context of inducing sparsity in path a...
本研究的重点是两种收缩先验--马蹄先验和最近开发的正则化马蹄先验--在诱导路径稀疏性方面的性能。
{"title":"On the Performance of Horseshoe Priors for Inducing Sparsity in Structural Equation Models","authors":"Kjorte Harra, David Kaplan","doi":"10.1080/10705511.2023.2280895","DOIUrl":"https://doi.org/10.1080/10705511.2023.2280895","url":null,"abstract":"The present work focuses on the performance of two types of shrinkage priors—the horseshoe prior and the recently developed regularized horseshoe prior—in the context of inducing sparsity in path a...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"198 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138770466","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}
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