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Does Cluster-Robust Estimation Provide Within-Study Effects? A Comparison of Individual Participant Data Methods in MASEM Struct. Equ. Model. (IF 3.2) Pub Date : 2025-06-18 Lennert J. Groot, Kees Jan Kan, Suzanne Jak
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Model Assumption Violations in Bayesian Latent Mediation Analysis: An Exploration of Bayesian SEM Fit Indices and PPP Struct. Equ. Model. (IF 3.2) Pub Date : 2025-06-18 Haiyan Liu, Ihnwhi Heo, Aleksandr Ivanov, Sarah Depaoli
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A Note on Comparing Equivalence Testing with Conventional Criteria in Evaluating the Overall Fit of Structural Equation Models Struct. Equ. Model. (IF 3.2) Pub Date : 2025-06-18 Katerina M. Marcoulides, Ke-Hai Yuan
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Using Small-Variance Priors to Detect Covariate Misspecifications in Latent Class Analysis Models Struct. Equ. Model. (IF 2.5) Pub Date : 2025-06-09 Sarah Depaoli, Fan Jia, Marieke Visser
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Accommodating Continuous Time Metrics Within the Discrete-Time Latent Change Score Model Using Definition Variables Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-30 Sarfaraz Serang, Shawn D. Whiteman, Annabelle H. Reese
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Comparison of Component-Based Structural Equation Modeling Methods in Testing Component Interaction Effects Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-27 Zhiyuan Shen, Gyeongcheol Cho, Heungsun Hwang
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On the Meaning of Measurement Invariance in Social Relations—Confirmatory Factor Analysis for Relative Variance Parameters Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-13 David Jendryczko, Fridtjof W. Nussbeck
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From Seinfeld to Statistics: On the Dangers of Double Dipping with Bayesian Inference Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-05 Timothy R. Konold, Elizabeth A. Sanders, Kelvin Afolabi
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Two-Step Multilevel Latent Class Analysis in the Presence of Measurement Non-Equivalence Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-05 Johan Lyrvall, Jouni Kuha, Jennifer Oser
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Structural Equation Models with Social Networks Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-05 Ziqian Xu, Zhiyong Zhang
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Latent Interaction Modeling with Ordinal Items: Evaluating Alternative Analytic Methods and Parceling Strategies Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-05 Lu Liu, Qian Zhang
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f MACS : Generalizing d MACS Effect Size for Measurement Noninvariance with Multiple Groups and Multiple Grouping Variables Struct. Equ. Model. (IF 2.5) Pub Date : 2025-05-05 Mark H. C. Lai, Yichi Zhang, Meltem Ozcan, Winnie Wing-Yee Tse, Alexander Miles
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A Comparison of Estimators for Dynamic Structural Equation Models with Intensive Longitudinal Data Struct. Equ. Model. (IF 2.5) Pub Date : 2025-04-28 Kazuhiko Hayakawa, Boyan Yin
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Mediation Analysis with an Event-History Mediator: An Empirical Data Illustration and Simulation Study Struct. Equ. Model. (IF 2.5) Pub Date : 2025-04-11 Sooyong Lee, Kahyun Lee, Hanjoe Kim
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Parameter Recovery for Misspecified Latent Mediation Models in the Bayesian Framework Struct. Equ. Model. (IF 2.5) Pub Date : 2025-04-03 Haiyan Liu, Ihnwhi Heo, Sarah Depaoli, Aleksandr Ivanov
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Non-normal GMM with Covariates: A Modified 3-Step Analysis Struct. Equ. Model. (IF 2.5) Pub Date : 2025-04-01 Ming-Chi Tseng
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Less Heuristic Approximate Local Fit Evaluation in Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2025-03-27 Daniel McNeish
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Two-Wave Models for Latent Changes: How Well Can They Recover the Parameters of the Three-Wave Growth Curve Model? Struct. Equ. Model. (IF 2.5) Pub Date : 2025-02-27 Chenguang Du, Kazuki Hori, Yasuo Miyazaki
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Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations Struct. Equ. Model. (IF 2.5) Pub Date : 2025-02-13 Hyungeun Oh, Michael D. Hunter, Sy-Miin Chow
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Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests Struct. Equ. Model. (IF 2.5) Pub Date : 2025-02-13 Ke-Hai Yuan, Zhiyong Zhang
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Effect Size Interpretation in Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2025-02-13 David B. Flora, Gabriel Crone, Stephanie M. Bell
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Bivariate Latent Change Score Models in Small Sample Contexts: Comparison of Maximum Likelihood and Bayesian Estimation Struct. Equ. Model. (IF 2.5) Pub Date : 2025-02-03 Jinying Ouyang, Zhehan Jiang, Dexin Shi, Junhao Pan, Shucheng Pan
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Latent Variable Interactions with Categorical Indicators: Continuous and Categorical Latent Moderated Structural Equations Approaches Struct. Equ. Model. (IF 2.5) Pub Date : 2025-01-27 Zhiyuan Shen, Lihan Chen, Emma Somer, Milica Miočević, Carl F. Falk
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Detrending for Intensive Longitudinal Dyadic Data Analysis Using DSEM Struct. Equ. Model. (IF 2.5) Pub Date : 2025-01-14 Yue Xiao, Hongyun Liu
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lavaangui : A Web-Based Graphical Interface for Specifying Lavaan Models by Drawing Path Diagrams Struct. Equ. Model. (IF 2.5) Pub Date : 2025-01-10 J. D. Karch
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Multilevel Multigroup Structural Equation Modeling In A Single-Level Framework Struct. Equ. Model. (IF 2.5) Pub Date : 2025-01-06 Julia-Kim Walther, Martin Hecht, Benjamin Nagengast, Steffen Zitzmann
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Signaling Model Misspecification in Latent Class Analysis Struct. Equ. Model. (IF 2.5) Pub Date : 2025-01-02 Zachary K. Collier, Joshua Sukumar, Yiqin Cao, Nicholas Bell
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Evaluation of Structural Equation Model Forests Performance to Identify Omitted Influential Covariates Struct. Equ. Model. (IF 2.5) Pub Date : 2024-11-07 John Alexander Silva Díaz, Moritz Heene, Andreas M. Brandmaier
Model misspecification is typical in applied structural equation modeling (SEM). Traditional specification search methods, such as modification indices, search for misspecifications within the mode...
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Evaluating Local Model Misspecification with Modification Indices in Bayesian Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-10-29 Mauricio Garnier-Villarreal, Terrence D. Jorgensen
Model evaluation is a crucial step in SEM, consisting of two broad areas: global and local fit, where local fit indices are used to modify the original model. In the modification process, the modif...
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Addressing Missing Data in Latent Class Analysis When Using a Three-Step Estimation Approach Struct. Equ. Model. (IF 2.5) Pub Date : 2024-10-29 Sarah Depaoli, Fan Jia, Marieke Visser
This study specifically focuses on addressing the challenges related to employing missing data techniques when estimating a conditional Latent Class Analysis (LCA) model. In the context of a condit...
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The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches Struct. Equ. Model. (IF 2.5) Pub Date : 2024-10-29 Jasper Bogaert, Wen Wei Loh, Florian Schuberth, Yves Rosseel
Researchers seeking valid statistical inference in the presence of measurement error often apply approaches that ignore measurement error. This may result in biased estimates, inflated type I error...
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Dynamic Structural Equation Modeling with Cycles Struct. Equ. Model. (IF 2.5) Pub Date : 2024-10-22 Bengt Muthén, Tihomir Asparouhov, Loes Keijsers
Cyclical phenomena are commonly observed in many areas of repeated measurements, especially with intensive longitudinal data. A typical example is circadian (24-hour) rhythm of physical measures su...
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A Growth of Hierarchical Autoregression Model for Capturing Individual Differences in Changes of Dynamic Characteristics of Psychological Processes Struct. Equ. Model. (IF 2.5) Pub Date : 2024-10-03 Yanling Li, Lindy Williams, Chelsea Muth, Saeideh Heshmati, Sy-Miin Chow, Zita Oravecz
Several methodological innovations have been advanced in the past decades that combine growth curve models (GCMs) with models of autoregressive (AR) processes. However, most of these approaches do ...
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Model Estimation Approaches for Fully-Latent Principal Stratification with Small Samples Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-25 Sooyong Lee, Adam Sales, Hyeon-Ah Kang, Tiffany A. Whittaker
This study investigated the performance of Bayesian fully-latent principal stratification (FLPS) models in estimating causal and principal effects in small-sample randomized control trials (RCTs) a...
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Latent Vector Autoregressive Modeling: A Stepwise Estimation Approach Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-25 Manuel T. Rein, Jeroen K. Vermunt, Kim De Roover, Leonie V. D. E. Vogelsmeier
Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measu...
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Review of Measurement Theory and Applications for the Social Sciences Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-24 Haley Hall
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)
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Assessing Heterogeneity of Correlation Matrices in Misspecified Meta-Analytic Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-09 Christian Bloszies, Tobias Koch
Meta-analytic structural equation modeling (MASEM) techniques are increasingly common tools to synthesize data across multiple studies. One popular approach is two-step MASEM, where study correlati...
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New Developments in Measurement Invariance Testing: An Overview and Comparison of EFA-Based Approaches Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-05 Philipp Sterner, Kim De Roover, David Goretzko
When comparing relations and means of latent variables, it is important to establish measurement invariance (MI). Most methods to assess MI are based on confirmatory factor analysis (CFA). Recently...
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Deriving Expected Values of Model Parameters When Using Sum Scores in Simulation Research Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-05 A. R. Georgeson
There is increasing interest in using factor scores in structural equation models and there have been numerous methodological papers on the topic. Nevertheless, sum scores, which are computed from ...
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Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-04 Haixiang Zhang
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of th...
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A Structural After Measurement Approach to Bifactor Predictive Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-05 Jinsoo Choi, Sunbeom Kwon, Bo Zhang
The bifactor model is becoming a popular tool for modeling hierarchical constructs. However, the bifactor predictive model, which uses both the general factor and all group factors to predict a cri...
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Research Design and Model Estimation Under the Partially Confirmatory Latent Variable Modeling Framework with Multi-Univariate Bayesian Lassos Struct. Equ. Model. (IF 2.5) Pub Date : 2024-09-04 Jinsong Chen, Yifan Zhang
This research builds upon existing developments of the partially confirmatory approach by introducing predictors and regularizations to two additional parameter matrices: structural and differentia...
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Review of Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods (6th ed.) Struct. Equ. Model. (IF 2.5) Pub Date : 2024-08-09 Yosva Yosvi Br. Simbolon
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)
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Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix Struct. Equ. Model. (IF 2.5) Pub Date : 2024-08-09 Julia-Kim Walther, Martin Hecht, Steffen Zitzmann
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such...
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The Impact of “Negligible” Cross-Loadings in Investigations of Measurement Invariance with MGCFA and MGESEM Struct. Equ. Model. (IF 2.5) Pub Date : 2024-08-05 Timothy R. Konold, Elizabeth A. Sanders, Kelvin Afolabi
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigr...
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On the Estimation of Fit Indices for the Structural Part of a Model Struct. Equ. Model. (IF 2.5) Pub Date : 2024-08-05 Keke Lai
When a researcher proposes an SEM model to explain the dynamics among some latent variables, the real question in model evaluation is the fit of the model’s structural part. A composite index that ...
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A Note on the Occurrence of the Illusory Between-Person Component in the Random Intercept Cross-Lagged Panel Model Struct. Equ. Model. (IF 2.5) Pub Date : 2024-07-29 Alexander Robitzsch, Oliver Lüdtke
The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes....
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Latent Variable Modeling of Social Networks with Directional Relations: An Exploration of Profile Similarity of Latent Factors Struct. Equ. Model. (IF 2.5) Pub Date : 2024-07-23 Haiyan Liu, Ren Liu
Statistical analysis of networks has gained increasing popularity in social and psychological sciences. This study introduces a latent variable model for self-reported directional relations within ...
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Latent Interaction Effect in the CLPM Model: A Two-Step Multiple Imputation Analysis Struct. Equ. Model. (IF 2.5) Pub Date : 2024-07-16 Ming-Chi Tseng
This study aims to estimate the latent interaction effect in the CLPM model through a two-step multiple imputation analysis. The estimation of within × within and between × within latent interactio...
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Evaluation of Maximal Reliability for Multidimensional Measuring Instruments Using Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-07-16 Tenko Raykov, Bingsheng Zhang
Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score bas...
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Incorporating Individual Differences in Conjoint Analysis: A Structural Equation Modeling Approach Struct. Equ. Model. (IF 2.5) Pub Date : 2024-07-16 Chung-Ping Cheng
In the SEMWISE (Structural Equation Modeling for Within-Subject Experiments) framework, traditional conjoint analysis is treated as repeated measurements, which facilitates the incorporation of ind...
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Causal Mediation Analysis with the Parallel Process Latent Growth Curve Mediation Model Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-26 Xiao Liu, Lijuan Wang
In parallel process latent growth curve mediation models, the mediation pathways from treatment to the intercept or slope of outcome through the intercept or slope of mediator are often of interest...
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Investigating Latent Interaction Effects in Multiple-Group Analysis in the Structural Equation Modeling Framework Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-25 Suyoung Kim, Sooyong Lee, Jiwon Kim, Tiffany A. Whittaker
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for e...
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An Alternative Prior for Estimation in High-Dimensional Settings Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-25 Michael Nagel, Lukas Fischer, Tim Pawlowski, Augustin Kelava
Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichle...
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SEM Approach to the Mediation Analysis of the Two-Condition Within-Subject Design Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-18 Eujin Park, Changsoon Park
The effects of the two-condition within-subject (TCWS) conditional mediation model are developed using the SEM approach. The structural equation model for the within-subject mediator and the within...
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Joint Effects in Cross-Lagged Panel Research Using Structural Nested Mean Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-17 Jeroen D. Mulder, Satoshi Usami, Ellen L. Hamaker
A popular approach among psychological researchers for investigating causal relationships from panel data is cross-lagged panel modeling within the structural equation modeling (SEM) framework. How...
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Scale-Invariance, Equivariance and Dependency of Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-12 Ke-Hai Yuan, Ling Ling, Zhiyong Zhang
Data in social and behavioral sciences typically contain measurement errors and do not have predefined metrics. Structural equation modeling (SEM) is widely used for the analysis of such data, wher...
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Enhancing Model Fit Evaluation in SEM: Practical Tips for Optimizing Chi-Square Tests Struct. Equ. Model. (IF 2.5) Pub Date : 2024-06-10 Bang Quan Zheng, Peter M. Bentler
This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been...
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Matrix Decomposition Approach for Structural Equation Modeling as an Alternative to Covariance Structure Analysis and Its Theoretical Properties Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-31 Naoto Yamashita
Matrix decomposition structural equation modeling (MDSEM) is introduced as a novel approach in structural equation modeling, contrasting with traditional structural equation modeling (SEM). MDSEM a...
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Investigating Structural Model Fit Evaluation Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Xijuan Zhang, Hao Wu
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing...
更新日期：2024-11-09
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