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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study 动态结构方程模型的高效估算技术：案例研究
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-02-22 DOI: 10.1080/10705511.2023.2282378
Leonidas Sakalauskas, Vytautas Dulskis, Darius Plikynas
{"title":"A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study","authors":"Leonidas Sakalauskas, Vytautas Dulskis, Darius Plikynas","doi":"10.1080/10705511.2023.2282378","DOIUrl":"https://doi.org/10.1080/10705511.2023.2282378","url":null,"abstract":"Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"35 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139943186","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 Structural Equation Models with Missing Data: Data Requirements on N and T 有缺失数据的动态结构方程模型：对 N 和 T 的数据要求
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-02-22 DOI: 10.1080/10705511.2023.2287967
Yuan Fang, Lijuan Wang
{"title":"Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T","authors":"Yuan Fang, Lijuan Wang","doi":"10.1080/10705511.2023.2287967","DOIUrl":"https://doi.org/10.1080/10705511.2023.2287967","url":null,"abstract":"Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"23 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917363","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
Measurement Invariance is Not Sufficient for Meaningful and Valid Group Comparisons: A Note on Robitzsch and Lüdtke 测量不变性不足以进行有意义和有效的小组比较：关于 Robitzsch 和 Lüdtke 的说明
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2254497
Tenko Raykov
{"title":"Measurement Invariance is Not Sufficient for Meaningful and Valid Group Comparisons: A Note on Robitzsch and Lüdtke","authors":"Tenko Raykov","doi":"10.1080/10705511.2023.2254497","DOIUrl":"https://doi.org/10.1080/10705511.2023.2254497","url":null,"abstract":"This note demonstrates that measurement invariance does not guarantee meaningful and valid group comparisons in multiple-population settings. The article follows on a recent critical discussion by ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"232 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139898766","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
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators 应对数据池中的挑战：连续和分类指标潜在变量模型中的缺失数据处理
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2300079
Lihan Chen, Milica Miočević, Carl F. Falk
{"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}
引用次数: 0
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates 带变量的偏差调整三步多层次潜在类模型
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2300087
Johan Lyrvall, Zsuzsa Bakk, Jennifer Oser, Roberto Di Mari
{"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}
引用次数: 0
D-Scoring Method of Measurement Classical and Latent Frameworks 经典框架和潜在框架的 D-评分测量法
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-02-16 DOI: 10.1080/10705511.2023.2301389
Ademola B. Ajayi
{"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}
引用次数: 0
Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores 通过基于回归的变化分数更准确地量化个人性格变化
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-01-30 DOI: 10.1080/10705511.2023.2274800
Steffen Zitzmann, Lisa Bardach, Kai T. Horstmann, Matthias Ziegler, Martin Hecht
{"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}
引用次数: 0
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling 利用动态结构方程模型对密集纵向数据进行中介分析
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-01-30 DOI: 10.1080/10705511.2023.2268293
Jie Fang, Zhonglin Wen, Kit-Tai Hau
{"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}
引用次数: 0
Review of Handbook of Structural Equation Modeling 结构方程模型手册》回顾
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2023-12-19 DOI: 10.1080/10705511.2023.2279905
Jam Khojasteh, Ademola Ajayi
{"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}
引用次数: 0
Recovering Developmental Bivariate Trajectories in Accelerated Longitudinal Designs with Dynamic Continuous Time Modeling 用动态连续时间建模恢复加速纵向设计中的双变量发展轨迹
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2023-12-19 DOI: 10.1080/10705511.2023.2277651
Nuria Real-Brioso, Eduardo Estrada, Pablo F. Cáncer
{"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}
引用次数: 0
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