首页 > 最新文献

Structural Equation Modeling: A Multidisciplinary Journal最新文献

英文 中文
Augmented Bifactor Models and Bifactor-(S-1) Models are Identical. A Comment on Zhang, Luo, Zhang, Sun & Zhang (2023) 增强双因子模型和双因子(S-1)模型是相同的。对 Zhang, Luo, Zhang, Sun & Zhang (2023) 的评论
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-30 DOI: 10.1080/10705511.2024.2339387
Tobias Koch, Michael Eid
In a recent study, Zhang et al. (2023) proposed the augmented oblique bifactor model as a new methodological contribution, in which an oblique bifactor model is augmented by one or more indicator(s...
在最近的一项研究中,Zhang 等人(2023 年)提出了增强斜双因子模型作为一种新的方法论贡献。
{"title":"Augmented Bifactor Models and Bifactor-(S-1) Models are Identical. A Comment on Zhang, Luo, Zhang, Sun & Zhang (2023)","authors":"Tobias Koch, Michael Eid","doi":"10.1080/10705511.2024.2339387","DOIUrl":"https://doi.org/10.1080/10705511.2024.2339387","url":null,"abstract":"In a recent study, Zhang et al. (2023) proposed the augmented oblique bifactor model as a new methodological contribution, in which an oblique bifactor model is augmented by one or more indicator(s...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"7 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140817752","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 Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.) 社会科学定量方法》评论:附 R 示例的实用入门(第 2 版)
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-16 DOI: 10.1080/10705511.2024.2322726
Virginia Rosa da Silva
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 Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.)","authors":"Virginia Rosa da Silva","doi":"10.1080/10705511.2024.2322726","DOIUrl":"https://doi.org/10.1080/10705511.2024.2322726","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":"27 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603565","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
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling 处理测量误差和遗漏的混杂因素,考虑中介模型中混杂效应的信息量
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-10 DOI: 10.1080/10705511.2023.2270167
Qian Zhang, Qi Wang
In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders...
在文章中,我们重点讨论了在实验研究中进行中介分析时的测量误差和遗漏混杂因素问题。根据混杂因素的信息量...
{"title":"Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling","authors":"Qian Zhang, Qi Wang","doi":"10.1080/10705511.2023.2270167","DOIUrl":"https://doi.org/10.1080/10705511.2023.2270167","url":null,"abstract":"In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders...","PeriodicalId":21964,"journal":{"name":"Structural Equation Modeling: A Multidisciplinary Journal","volume":"20 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140545139","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
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs 多层次因子混合建模:多层次结构教程
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-04-05 DOI: 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...
多层次因素混合模型(FMM)是多层次确证因素分析(CFA)和多层次潜类分析(LCA)的混合体。它允许研究人员检查人口异质性。
{"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}
引用次数: 0
To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling 要长还是要宽:数据格式如何影响多层次结构方程模型的收敛性和估计精度
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-27 DOI: 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}
引用次数: 0
Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling 使用 SymPy(符号 Python)理解结构方程模型
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-27 DOI: 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...
结构方程建模 (SEM) 越来越受到人们的欢迎,大量的文章、书籍、课程和研讨会帮助研究人员快速熟练掌握 SEM。然而,对于研究人员来说,...
{"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}
引用次数: 0
Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling 整体模型拟合并不意味着纵向结构方程模型具有线性:使用潜在变量建模检验随时间的线性变化
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-27 DOI: 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...
本文关注的是基于结构方程模型的纵向研究中经常提出的线性时间发展假设。线性假说的实施是基于结构方程模型的。
{"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}
引用次数: 0
Causal Effects of Time-Varying Exposures: A Comparison of Structural Equation Modeling and Marginal Structural Models in Cross-Lagged Panel Research 时变暴露的因果效应:结构方程模型与边际结构模型在跨滞后面板研究中的比较
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-19 DOI: 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...
使用结构方程模型从面板数据中进行因果推断受到了因果推断文献的批评,因为它不必要地依赖于大量参数假设,而且...
{"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}
引用次数: 0
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation 识别问卷回答中粗心和不充分努力行为的动态转变;一种新方法和实验验证
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-14 DOI: 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...
粗心和不充分努力回答(C/IER)是指参与者在回答调查工具时没有考虑项目内容。这种现象会增加数据的噪音,导致...
{"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}
引用次数: 0
Review of Practical Psychometrics: A Guide for Test Users 实用心理测量学》评论:测验使用者指南
IF 6 2区 心理学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Pub Date : 2024-03-14 DOI: 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}
引用次数: 0
期刊
Structural Equation Modeling: A Multidisciplinary Journal
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1