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
1.
Tang D, Boker S, Tong X
Struct Equ Modeling
. 2025 Mar;
32(1):142-154.
PMID: 40041661
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this...
2.
Henry T, Fisher Z, Bollen K
Struct Equ Modeling
. 2024 Dec;
31(6):965-982.
PMID: 39734572
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models. Associated with this estimator are equation specific tests of model misspecification. One...
3.
Lyrvall J, Bakk Z, Oser J, Di Mari R
Struct Equ Modeling
. 2024 Dec;
31(4):592-603.
PMID: 39664936
We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure,...
4.
Steele J, Grimm K
Struct Equ Modeling
. 2024 Dec;
31(6):1104-1115.
PMID: 39639914
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, few resources are available...
5.
Fang Y, Wang L
Struct Equ Modeling
. 2024 Sep;
31(5):891-908.
PMID: 39308934
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on...
6.
Gonzalez O, Millechek J, Georgeson A
Struct Equ Modeling
. 2024 Jul;
30(6):914-925.
PMID: 39027682
Statistical mediation analysis is used to uncover intermediate variables, known as mediators [ ], that explain how a treatment [ ] changes an outcome [ ]. Often, researchers examine whether...
7.
Liu X, Zhang Z, Valentino K, Wang L
Struct Equ Modeling
. 2024 May;
31(1):132-150.
PMID: 38706777
Parallel process latent growth curve mediation models (PP-LGCMMs) are frequently used to longitudinally investigate the mediation effects of treatment on the level and change of outcome through the level and...
8.
Speyer L, Ushakova A, Blakemore S, Murray A, Kievit R
Struct Equ Modeling
. 2023 Nov;
30(2):315-327.
PMID: 37937063
Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers...
9.
Boker S, Von Oertzen T, Pritikin J, Hunter M, Brick T, Brandmaier A, et al.
Struct Equ Modeling
. 2023 Oct;
30(5):708-718.
PMID: 37901654
A general method is introduced in which variables that are products of other variables in the context of a structural equation model (SEM) can be decomposed into the sources of...
10.
Feingold A
Struct Equ Modeling
. 2023 Aug;
30(4):672-685.
PMID: 37588162
The effect of an independent variable on random slopes in growth modeling with latent variables is conventionally used to examine predictors of change over the course of a study. This...