Pub Date : 2024-02-16DOI: 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...
{"title":"Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators","authors":"Lihan Chen, Milica Miočević, Carl F. Falk","doi":"10.1080/10705511.2023.2300079","DOIUrl":"https://doi.org/10.1080/10705511.2023.2300079","url":null,"abstract":"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...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"34 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139898807","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 : 2024-02-16DOI: 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 : 2024-02-16DOI: 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）
{"title":"D-Scoring Method of Measurement Classical and Latent Frameworks","authors":"Ademola B. Ajayi","doi":"10.1080/10705511.2023.2301389","DOIUrl":"https://doi.org/10.1080/10705511.2023.2301389","url":null,"abstract":"Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"51 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139911355","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：