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Structural Equation Modeling: A Multidisciplinary Journal最新文献

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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
Review of Measurement Theory and Applications for the Social Sciences 社会科学的测量理论与应用》回顾
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-24 DOI: 10.1080/10705511.2024.2395364
Haley Hall
{"title":"Review of Measurement Theory and Applications for the Social Sciences","authors":"Haley Hall","doi":"10.1080/10705511.2024.2395364","DOIUrl":"https://doi.org/10.1080/10705511.2024.2395364","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":"20 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374096","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
Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models 评估指定错误的元分析结构方程模型中相关矩阵的异质性
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-09 DOI: 10.1080/10705511.2024.2389400
Christian Bloszies, Tobias Koch
{"title":"Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models","authors":"Christian Bloszies, Tobias Koch","doi":"10.1080/10705511.2024.2389400","DOIUrl":"https://doi.org/10.1080/10705511.2024.2389400","url":null,"abstract":"Meta-analytic structural equation modeling (MASEM) techniques are increasingly common tools to synthesize data across multiple studies. One popular approach is two-step MASEM, where study correlati...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"16 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142160423","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
New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches 测量不变量测试的新发展：基于 EFA 方法的概述与比较
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-05 DOI: 10.1080/10705511.2024.2393647
Philipp Sterner, Kim De Roover, David Goretzko
{"title":"New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches","authors":"Philipp Sterner, Kim De Roover, David Goretzko","doi":"10.1080/10705511.2024.2393647","DOIUrl":"https://doi.org/10.1080/10705511.2024.2393647","url":null,"abstract":"When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"1 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142590","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
Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research 在模拟研究中使用总分时得出模型参数的预期值
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-05 DOI: 10.1080/10705511.2024.2376330
A. R. Georgeson
{"title":"Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research","authors":"A. R. Georgeson","doi":"10.1080/10705511.2024.2376330","DOIUrl":"https://doi.org/10.1080/10705511.2024.2376330","url":null,"abstract":"There is increasing interest in using factor scores in structural equation models and there have been numerous methodological papers on the topic. Nevertheless, sum scores, which are computed from ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"102 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142593","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 Structural After Measurement Approach to Bifactor Predictive Models 双因素预测模型的结构后测量法
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-05 DOI: 10.1080/10705511.2024.2385951
Jinsoo Choi, Sunbeom Kwon, Bo Zhang
{"title":"A Structural After Measurement Approach to Bifactor Predictive Models","authors":"Jinsoo Choi, Sunbeom Kwon, Bo Zhang","doi":"10.1080/10705511.2024.2385951","DOIUrl":"https://doi.org/10.1080/10705511.2024.2385951","url":null,"abstract":"The bifactor model is becoming a popular tool for modeling hierarchical constructs. However, the bifactor predictive model, which uses both the general factor and all group factors to predict a cri...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"62 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231523","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
Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos 利用多变量贝叶斯拉索在部分确认潜在变量模型框架下进行研究设计和模型估计
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-04 DOI: 10.1080/10705511.2024.2392618
Jinsong Chen, Yifan Zhang
{"title":"Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos","authors":"Jinsong Chen, Yifan Zhang","doi":"10.1080/10705511.2024.2392618","DOIUrl":"https://doi.org/10.1080/10705511.2024.2392618","url":null,"abstract":"This research builds upon existing developments of the partially confirmatory approach by introducing predictors and regularizations to two additional parameter matrices: structural and differentia...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"25 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142276006","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
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect 中介效应的高效调整联合显著性检验和索贝尔置信区间
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-09-04 DOI: 10.1080/10705511.2024.2392139
Haixiang Zhang
{"title":"Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect","authors":"Haixiang Zhang","doi":"10.1080/10705511.2024.2392139","DOIUrl":"https://doi.org/10.1080/10705511.2024.2392139","url":null,"abstract":"Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of th...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"136 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142142591","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 Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (6th ed.) 教育和心理学研究与评估》评论：用定量、定性和混合方法整合多样性》（第 6 版）
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-08-09 DOI: 10.1080/10705511.2024.2382759
Yosva Yosvi Br. Simbolon
{"title":"Review of Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (6th ed.)","authors":"Yosva Yosvi Br. Simbolon","doi":"10.1080/10705511.2024.2382759","DOIUrl":"https://doi.org/10.1080/10705511.2024.2382759","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":"76 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141915028","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
Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix 通过样本协方差矩阵正则化缩小多层次结构方程模型中的小样本问题
IF 6 2区 心理学
Structural Equation Modeling: A Multidisciplinary Journal Pub Date : 2024-08-09 DOI: 10.1080/10705511.2024.2380919
Julia-Kim Walther, Martin Hecht, Steffen Zitzmann
{"title":"Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix","authors":"Julia-Kim Walther, Martin Hecht, Steffen Zitzmann","doi":"10.1080/10705511.2024.2380919","DOIUrl":"https://doi.org/10.1080/10705511.2024.2380919","url":null,"abstract":"Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"67 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910205","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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