Pub Date : 2024-04-05DOI: 10.1080/10705511.2024.2332257
Chunhua Cao, Yan Wang, Eunsook Kim
Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterog...
{"title":"Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs","authors":"Chunhua Cao, Yan Wang, Eunsook Kim","doi":"10.1080/10705511.2024.2332257","DOIUrl":"https://doi.org/10.1080/10705511.2024.2332257","url":null,"abstract":"Multilevel factor mixture modeling (FMM) is a hybrid of multilevel confirmatory factor analysis (CFA) and multilevel latent class analysis (LCA). It allows researchers to examine population heterog...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"263 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140534315","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 : 2024-03-27DOI: 10.1080/10705511.2024.2320050
Julia-Kim Walther, Martin Hecht, Benjamin Nagengast, Steffen Zitzmann
A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect the...
两级数据集的结构可以是长格式（LF）或宽格式（WF），两者都有相应的 SEM 方法来估计多级模型。从直观上讲，人们可能会认为...
{"title":"To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling","authors":"Julia-Kim Walther, Martin Hecht, Benjamin Nagengast, Steffen Zitzmann","doi":"10.1080/10705511.2024.2320050","DOIUrl":"https://doi.org/10.1080/10705511.2024.2320050","url":null,"abstract":"A two-level data set can be structured in either long format (LF) or wide format (WF), and both have corresponding SEM approaches for estimating multilevel models. Intuitively, one might expect the...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"279 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140322093","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 : 2024-03-27DOI: 10.1080/10705511.2024.2325122
Joel S. Steele, Kevin J. Grimm
Structural Equation Modeling (SEM) continues to grow in popularity with numerous articles, books, courses, and workshops available to help researchers become proficient with SEM quickly. However, f...
{"title":"Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling","authors":"Joel S. Steele, Kevin J. Grimm","doi":"10.1080/10705511.2024.2325122","DOIUrl":"https://doi.org/10.1080/10705511.2024.2325122","url":null,"abstract":"Structural Equation Modeling (SEM) continues to grow in popularity with numerous articles, books, courses, and workshops available to help researchers become proficient with SEM quickly. However, f...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"43 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140310484","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 : 2024-03-27DOI: 10.1080/10705511.2023.2292959
Tenko Raykov, Christine DiStefano, Natalja Menold
This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemen...
{"title":"Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling","authors":"Tenko Raykov, Christine DiStefano, Natalja Menold","doi":"10.1080/10705511.2023.2292959","DOIUrl":"https://doi.org/10.1080/10705511.2023.2292959","url":null,"abstract":"This article is concerned with the assumption of linear temporal development that is often advanced in structural equation modeling-based longitudinal research. The linearity hypothesis is implemen...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"19 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140310793","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 : 2024-03-19DOI: 10.1080/10705511.2024.2316586
Jeroen D. Mulder, Kim Luijken, Bas B. L. Penning de Vries, Ellen L. Hamaker
The use of structural equation models for causal inference from panel data is critiqued in the causal inference literature for unnecessarily relying on a large number of parametric assumptions, and...
{"title":"Causal Effects of Time-Varying Exposures: A Comparison of Structural Equation Modeling and Marginal Structural Models in Cross-Lagged Panel Research","authors":"Jeroen D. Mulder, Kim Luijken, Bas B. L. Penning de Vries, Ellen L. Hamaker","doi":"10.1080/10705511.2024.2316586","DOIUrl":"https://doi.org/10.1080/10705511.2024.2316586","url":null,"abstract":"The use of structural equation models for causal inference from panel data is critiqued in the causal inference literature for unnecessarily relying on a large number of parametric assumptions, and...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"55 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140182800","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 : 2024-03-14DOI: 10.1080/10705511.2024.2304816
Zachary J. Roman, Patrick Schmidt, Jason M. Miller, Holger Brandt
Careless and insufficient effort responding (C/IER) is a situation where participants respond to survey instruments without considering the item content. This phenomena adds noise to data leading t...
{"title":"Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation","authors":"Zachary J. Roman, Patrick Schmidt, Jason M. Miller, Holger Brandt","doi":"10.1080/10705511.2024.2304816","DOIUrl":"https://doi.org/10.1080/10705511.2024.2304816","url":null,"abstract":"Careless and insufficient effort responding (C/IER) is a situation where participants respond to survey instruments without considering the item content. This phenomena adds noise to data leading t...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"159 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140139387","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 : 2024-03-14DOI: 10.1080/10705511.2023.2289003
Musyaffa’ Ahmad, Muhammad Faisal
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":"Review of Practical Psychometrics: A Guide for Test Users","authors":"Musyaffa’ Ahmad, Muhammad Faisal","doi":"10.1080/10705511.2023.2289003","DOIUrl":"https://doi.org/10.1080/10705511.2023.2289003","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":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140161884","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 : 2024-03-12DOI: 10.1080/10705511.2024.2308005
Daniel McNeish, Melissa G. Wolf
Despite the popularity of traditional fit index cutoffs like RMSEA ≤ .06 and CFI ≥ .95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been ...
{"title":"Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models","authors":"Daniel McNeish, Melissa G. Wolf","doi":"10.1080/10705511.2024.2308005","DOIUrl":"https://doi.org/10.1080/10705511.2024.2308005","url":null,"abstract":"Despite the popularity of traditional fit index cutoffs like RMSEA ≤ .06 and CFI ≥ .95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been ...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"287 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140115012","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 : 2024-03-12DOI: 10.1080/10705511.2024.2306532
James Ohisei Uanhoro
We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector us...
{"title":"Bayesian Structural Equation Models of Correlation Matrices","authors":"James Ohisei Uanhoro","doi":"10.1080/10705511.2024.2306532","DOIUrl":"https://doi.org/10.1080/10705511.2024.2306532","url":null,"abstract":"We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector us...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"18 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140117503","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 : 2024-02-22DOI: 10.1080/10705511.2023.2296862
Ming-Chi Tseng
This study simplifies the seven different cross-lagged panel models (CLPMs) by using the RSEM model for both inter-individual and intra-individual structures. In addition, the study incorporates th...
{"title":"Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach","authors":"Ming-Chi Tseng","doi":"10.1080/10705511.2023.2296862","DOIUrl":"https://doi.org/10.1080/10705511.2023.2296862","url":null,"abstract":"This study simplifies the seven different cross-lagged panel models (CLPMs) by using the RSEM model for both inter-individual and intra-individual structures. In addition, the study incorporates th...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"108 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139917256","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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