Structural Equation Modeling : a Multidisciplinary Journal
Overview
Structural Equation Modeling: A Multidisciplinary Journal is a scholarly publication that focuses on the application and advancement of structural equation modeling (SEM) in various fields. It provides a platform for researchers and practitioners to share their innovative methodologies, empirical studies, and theoretical developments related to SEM, fostering interdisciplinary collaboration and promoting the understanding of complex relationships among variables.
Details
Details
Abbr.
Struct Equ Modeling
Start
1994
End
Continuing
Frequency
Quarterly
p-ISSN
1070-5511
e-ISSN
1532-8007
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 2085
125
SJR / Ranks: 432
3647
CiteScore / Ranks: 3240
6.60
JIF / Ranks: 1121
6.0
Recent Articles
11.
Giordano M, Bollen K, Jin S
Struct Equ Modeling
. 2023 Jun;
29(4):584-599.
PMID: 37333803
This study develops a new limited information estimator for random intercept Multilevel Structural Equation Models (MSEM). It is based on the Model Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) estimator,...
12.
The Effect of Noninvariance on the Estimation of the Mediated Effect in the Two-Wave Mediation Model
Georgeson A, Valente M, Gonzalez O
Struct Equ Modeling
. 2023 Apr;
29(6):908-919.
PMID: 37041863
The two-wave mediation model is the most suitable model for examining mediation effects in a randomized intervention and includes measures taken at pretest and posttest. When using self-report measures, the...
13.
Kush J, Masyn K, Amin-Esmaeili M, Susukida R, Wilcox H, Musci R
Struct Equ Modeling
. 2023 Feb;
30(1):149-164.
PMID: 36818015
Integrative data analysis (IDA) is an analytic tool that allows researchers to combine raw data across multiple, independent studies, providing improved measurement of latent constructs as compared to single study...
14.
Kruger E, Tofighi D, Hsiao Y, MacKinnon D, Van Horn M, Witkiewitz K
Struct Equ Modeling
. 2022 Nov;
29(6):944-952.
PMID: 36439330
Mechanisms of behavior change are the processes through which interventions are hypothesized to cause changes in outcomes. Latent growth curve mediation models (LGCMM) are recommended for investigating the mechanisms of...
15.
16.
Li Y, Wood J, Ji L, Chow S, Oravecz Z
Struct Equ Modeling
. 2022 May;
29(3):452-475.
PMID: 35601030
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 (mlVAR) models...
17.
Gische C, West S, Voelkle M
Struct Equ Modeling
. 2022 Apr;
28(3):475-492.
PMID: 35464622
The present article provides a didactic presentation and extension of selected features of Pearl's DAG-based approach to causal inference for researchers familiar with structural equation modeling. We illustrate key concepts...
18.
Sherlock P, DiStefano C, Habing B
Struct Equ Modeling
. 2022 Feb;
29(1):70-85.
PMID: 35221645
No abstract available.
19.
Davoudzadeh P, Grimm K, Widaman K, Desmarais S, Tueller S, Rodgers D, et al.
Struct Equ Modeling
. 2022 Jan;
27(6):931-941.
PMID: 35046631
Integrative data analysis (IDA) involves obtaining multiple datasets, scaling the data to a common metric, and jointly analyzing the data. The first step in IDA is to scale the multisample...
20.
McNeish D, MacKinnon D, Marsch L, Poldrack R
Struct Equ Modeling
. 2021 Nov;
28(5):807-822.
PMID: 34737528
Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often...