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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple Grouping Variables f MACS：多组和多组变量测量不变性的广义MACS效应量
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2025-05-05 DOI: 10.1080/10705511.2025.2484812
Mark H. C. Lai, Yichi Zhang, Meltem Ozcan, Winnie Wing-Yee Tse, Alexander Miles
{"title":"f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple Grouping Variables","authors":"Mark H. C. Lai, Yichi Zhang, Meltem Ozcan, Winnie Wing-Yee Tse, Alexander Miles","doi":"10.1080/10705511.2025.2484812","DOIUrl":"https://doi.org/10.1080/10705511.2025.2484812","url":null,"abstract":"","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"7 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144193797","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
Unsupervised Model Construction in Continuous-Time. 连续时间的无监督模型构建。
IF 2.5 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2025-01-01 Epub Date: 2024-12-16 DOI: 10.1080/10705511.2024.2429544
Jonathan J Park, Zachary F Fisher, Michael D Hunter, Chad Shenk, Michael Russell, Peter C M Molenaar, Sy-Miin Chow
{"title":"Unsupervised Model Construction in Continuous-Time.","authors":"Jonathan J Park, Zachary F Fisher, Michael D Hunter, Chad Shenk, Michael Russell, Peter C M Molenaar, Sy-Miin Chow","doi":"10.1080/10705511.2024.2429544","DOIUrl":"10.1080/10705511.2024.2429544","url":null,"abstract":"<p><p>Many of the advancements reconciling individual- and group-level results have occurred in the context of a discrete-time modeling framework. Discrete-time models are intuitive and offer relatively simple interpretations for the resulting dynamic structures; however, they do not possess the flexibility of models fitted in the continuous-time framework. We introduce ct-gimme, a continuous-time extension of the group iterative multiple model estimation (GIMME; Gates & Molenaar, 2012) procedure which enables researchers to fit complex, high dimensional dynamic networks in continuous-time. Our results indicate that ct-gimme outperforms <math><mi>N</mi> <mo>=</mo> <mn>1</mn></math> model fitting in continuous-time by pooling information across multiple subjects. Likewise, ct-gimme outperforms group-level model fitting in the presence of within-sample heterogeneity. We conclude with an empirical illustration and highlight limitations of the approach relating to identification of meaningful starting values.</p>","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"32 3","pages":"377-399"},"PeriodicalIF":2.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12083780/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluation of Structural Equation Model Forests Performance to Identify Omitted Influential Covariates 评估结构方程模型森林识别被忽略的影响变量的性能
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-11-07 DOI: 10.1080/10705511.2024.2417866
John Alexander Silva Díaz, Moritz Heene, Andreas M. Brandmaier
{"title":"Evaluation of Structural Equation Model Forests Performance to Identify Omitted Influential Covariates","authors":"John Alexander Silva Díaz, Moritz Heene, Andreas M. Brandmaier","doi":"10.1080/10705511.2024.2417866","DOIUrl":"https://doi.org/10.1080/10705511.2024.2417866","url":null,"abstract":"Model misspecification is typical in applied structural equation modeling (SEM). Traditional specification search methods, such as modification indices, search for misspecifications within the mode...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"61 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597247","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
Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach 使用三步估计法处理潜类分析中的缺失数据
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-10-29 DOI: 10.1080/10705511.2024.2410240
Sarah Depaoli, Fan Jia, Marieke Visser
{"title":"Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach","authors":"Sarah Depaoli, Fan Jia, Marieke Visser","doi":"10.1080/10705511.2024.2410240","DOIUrl":"https://doi.org/10.1080/10705511.2024.2410240","url":null,"abstract":"This study specifically focuses on addressing the challenges related to employing missing data techniques when estimating a conditional Latent Class Analysis (LCA) model. In the context of a condit...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"7 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142574437","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 Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches 测量误差对小样本结构方程模型假设检验的影响：各种估计方法的比较
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-10-29 DOI: 10.1080/10705511.2024.2398759
Jasper Bogaert, Wen Wei Loh, Florian Schuberth, Yves Rosseel
{"title":"The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches","authors":"Jasper Bogaert, Wen Wei Loh, Florian Schuberth, Yves Rosseel","doi":"10.1080/10705511.2024.2398759","DOIUrl":"https://doi.org/10.1080/10705511.2024.2398759","url":null,"abstract":"Researchers seeking valid statistical inference in the presence of measurement error often apply approaches that ignore measurement error. This may result in biased estimates, inflated type I error...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"27 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142574438","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
Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling 用贝叶斯结构方程模型中的修正指数评估局部模型的不规范性
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-10-29 DOI: 10.1080/10705511.2024.2413128
Mauricio Garnier-Villarreal, Terrence D. Jorgensen
{"title":"Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling","authors":"Mauricio Garnier-Villarreal, Terrence D. Jorgensen","doi":"10.1080/10705511.2024.2413128","DOIUrl":"https://doi.org/10.1080/10705511.2024.2413128","url":null,"abstract":"Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are used to modify the original model. In the modification process, the modif...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"7 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142556227","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 Modeling with Cycles 循环动态结构方程模型
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-10-22 DOI: 10.1080/10705511.2024.2406510
Bengt Muthén, Tihomir Asparouhov, Loes Keijsers
{"title":"Dynamic Structural Equation Modeling with Cycles","authors":"Bengt Muthén, Tihomir Asparouhov, Loes Keijsers","doi":"10.1080/10705511.2024.2406510","DOIUrl":"https://doi.org/10.1080/10705511.2024.2406510","url":null,"abstract":"Cyclical phenomena are commonly observed in many areas of repeated measurements, especially with intensive longitudinal data. A typical example is circadian (24-hour) rhythm of physical measures su...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"24 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142490818","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 Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes 捕捉心理过程动态特征变化中的个体差异的分层自回归模型的发展
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-10-03 DOI: 10.1080/10705511.2024.2402328
Yanling Li, Lindy Williams, Chelsea Muth, Saeideh Heshmati, Sy-Miin Chow, Zita Oravecz
{"title":"A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes","authors":"Yanling Li, Lindy Williams, Chelsea Muth, Saeideh Heshmati, Sy-Miin Chow, Zita Oravecz","doi":"10.1080/10705511.2024.2402328","DOIUrl":"https://doi.org/10.1080/10705511.2024.2402328","url":null,"abstract":"Several methodological innovations have been advanced in the past decades that combine growth curve models (GCMs) with models of autoregressive (AR) processes. However, most of these approaches do ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"124 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142448727","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
Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples 小样本全等主分层的模型估计方法
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-25 DOI: 10.1080/10705511.2024.2402331
Sooyong Lee, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker
{"title":"Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples","authors":"Sooyong Lee, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker","doi":"10.1080/10705511.2024.2402331","DOIUrl":"https://doi.org/10.1080/10705511.2024.2402331","url":null,"abstract":"This study investigated the performance of Bayesian fully-latent principal stratification (FLPS) models in estimating causal and principal effects in small-sample randomized control trials (RCTs) a...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"36 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142325563","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
Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach 潜向量自回归建模：逐步估计法
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-25 DOI: 10.1080/10705511.2024.2398034
Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover, Leonie V. D. E. Vogelsmeier
{"title":"Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach","authors":"Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover, Leonie V. D. E. Vogelsmeier","doi":"10.1080/10705511.2024.2398034","DOIUrl":"https://doi.org/10.1080/10705511.2024.2398034","url":null,"abstract":"Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measu...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"42 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142325561","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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