Structural Equation Modeling
IF
3.64
Papers
1,215
Papers 1,203
1 page of 121 pages (1,203 results)
Newest
#1Haiyan Liu (UCM: University of California, Merced)H-Index: 4
#2Sarah Depaoli (UCM: University of California, Merced)H-Index: 17
Last. Lydia Marvin (UCM: University of California, Merced)H-Index: 1
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#1Zsuzsa BakkH-Index: 9
#2Roberto Di MariH-Index: 5
Last. Jouni KuhaH-Index: 18
view all 4 authors...
In this article, we present a two-stage estimation approach applied to multilevel latent class analysis (LCA) with covariates. We separate the estimation of the measurement and structural model. This makes the extension of the structural model computationally efficient. We investigate the robustness against misspecifications of the proposed two-stage and the classical one-stage approach for models where a direct effect exists between indicators of the LC model and covariate, and the direct effec...
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#1Erik-Jan van Kesteren (Utrecht University)H-Index: 4
#2Daniel L. Oberski (Utrecht University)H-Index: 20
Structural equation modeling (SEM) is being applied to ever more complex data types and questions, often requiring extensions such as regularization or novel fitting functions. To extend SEM, resea...
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#2Peter M. Bentler (UCLA: University of California, Los Angeles)H-Index: 106
#2Jorge N. TendeiroH-Index: 14
Last. Laura F. BringmannH-Index: 18
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#1Victoria Savalei (UBC: University of British Columbia)H-Index: 26
#2Yves RosseelH-Index: 41
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#1Henrik Andersen (Chemnitz University of Technology)H-Index: 4
This article provides an in-depth look at random and fixed effects panel regression in the structural equation modeling (SEM) framework, as well as their application in the lavaan package for R. It...
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#1Chunhua Cao (University of Alabama)H-Index: 1
#2Xinya Liang (University of Arkansas at Fayetteville)H-Index: 6
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#1Yanling Li (PSU: Pennsylvania State University)H-Index: 1
#2Julie Wood (PSU: Pennsylvania State University)H-Index: 2
Last. Zita OraveczH-Index: 13
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The influx of intensive longitudinal data creates a pressing need for complex modeling tools that help enrich our understanding of how individuals change over time. Multilevel vector autoregressive...
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#1Minjung Kim (OSU: The Ohio State University)H-Index: 12
#2Christa Winkler (MSU: Mississippi State University)H-Index: 1
Last. John E. Lochman (University of Alabama)H-Index: 85
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Cluster memberships associated with the mediation effect are often changed due to the temporal distance between the cause-and-effect variables in longitudinal data. Nevertheless, current practices ...
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