样式: 排序: IF: - GO 导出 标记为已读
-
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...
-
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...
-
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 ...
-
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...
-
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...
-
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)
-
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...
-
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...
-
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 ...
-
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....
-
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 ...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
Optimal Instrument Selection Using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Teague R. Henry, Zachary F. Fisher, Kenneth A. Bollen
Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estim...
-
Minimal-Effect Testing, Equivalence Testing, and the Conventional Null Hypothesis Testing for the Analysis of Bi-Factor Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Shunji Wang, Katerina M. Marcoulides, Jiashan Tang, Ke-Hai Yuan
A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a ...
-
Are the Signs of Factor Loadings Arbitrary in Confirmatory Factor Analysis? Problems and Solutions Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Dandan Tang, Steven M. Boker, Xin Tong
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 fact...
-
Can We Differentiate a Latent Growth Curve Model from Competitors? Evidence Based on Individual Case Residuals Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Dan Wei, Peida Zhan, Hongyun Liu
In latent growth curve modeling (LGCM), overall fit indices have garnered increased disputation for model selection, and model fit evaluation based on the mean structure has becoming popularity. Th...
-
Applying Benford’s Law for Assessing the Validity of Social Science Data Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-28 Ademola B. Ajayi
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)
-
Estimating the Weight Matrix in Distributionally Weighted Least Squares Estimation: An Empirical Bayesian Solution Struct. Equ. Model. (IF 2.5) Pub Date : 2024-05-21 Han Du, Hao Wu
Real data are unlikely to be exactly normally distributed. Ignoring non-normality will cause misleading and unreliable parameter estimates, standard error estimates, and model fit statistics. For n...
-
A Causal Framework for the Comparability of Latent Variables Struct. Equ. Model. (IF 2.5) Pub Date : 2024-04-30 Philipp Sterner, Florian Pargent, Dominik Deffner, David Goretzko
Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful gro...
-
Augmented Bifactor Models and Bifactor-(S-1) Models are Identical. A Comment on Zhang, Luo, Zhang, Sun & Zhang (2023) Struct. Equ. Model. (IF 2.5) Pub Date : 2024-04-30 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...
-
Review of Quantitative Methods for the Social Sciences: A Practical Introduction with Examples in R (2nd ed.) Struct. Equ. Model. (IF 2.5) Pub Date : 2024-04-16 Virginia Rosa da Silva
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)
-
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-04-10 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...
-
Multilevel Factor Mixture Modeling: A Tutorial for Multilevel Constructs Struct. Equ. Model. (IF 2.5) Pub Date : 2024-04-05 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...
-
To Be Long or To Be Wide: How Data Format Influences Convergence and Estimation Accuracy in Multilevel Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-27 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...
-
Using SymPy (Symbolic Python) for Understanding Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-27 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...
-
Overall Model Fit Does Not Imply Linearity in Longitudinal Structural Equation Models: Examining Linear Change Over Time Using Latent Variable Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-27 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...
-
Review of Practical Psychometrics: A Guide for Test Users Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-14 Musyaffa’ Ahmad, Muhammad Faisal
Published in Structural Equation Modeling: A Multidisciplinary Journal (Ahead of Print, 2024)
-
Causal Effects of Time-Varying Exposures: A Comparison of Structural Equation Modeling and Marginal Structural Models in Cross-Lagged Panel Research Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-19 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...
-
Identifying Dynamic Shifts to Careless and Insufficient Effort Behavior in Questionnaire Responses; a Novel Approach and Experimental Validation Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-14 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...
-
Direct Discrepancy Dynamic Fit Index Cutoffs for Arbitrary Covariance Structure Models Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-12 Daniel McNeish, Melissa G. Wolf
Despite the popularity of traditional fit index cutoffs like RMSEA ≤ .06 and CFI ≥ .95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been ...
-
Bayesian Structural Equation Models of Correlation Matrices Struct. Equ. Model. (IF 2.5) Pub Date : 2024-03-12 James Ohisei Uanhoro
We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector us...
-
Fitting Cross-Lagged Panel Models with the Residual Structural Equations Approach Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-22 Ming-Chi Tseng
This study simplifies the seven different cross-lagged panel models (CLPMs) by using the RSEM model for both inter-individual and intra-individual structures. In addition, the study incorporates th...
-
Dynamic Structural Equation Models with Missing Data: Data Requirements on N and T Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-22 Yuan Fang, Lijuan Wang
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 ...
-
A Technique for Efficient Estimation of Dynamic Structural Equation Models: A Case Study Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-22 Leonidas Sakalauskas, Vytautas Dulskis, Darius Plikynas
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in...
-
Bias-Adjusted Three-Step Multilevel Latent Class Modeling with Covariates Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-16 Johan Lyrvall, Zsuzsa Bakk, Jennifer Oser, Roberto Di Mari
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 ...
-
D-Scoring Method of Measurement Classical and Latent Frameworks Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-16 Ademola B. Ajayi
Published in Structural Equation Modeling: A Multidisciplinary Journal (Vol. 31, No. 4, 2024)
-
Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-16 Lihan Chen, Milica Miočević, Carl F. Falk
Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets e...
-
Measurement Invariance is Not Sufficient for Meaningful and Valid Group Comparisons: A Note on Robitzsch and Lüdtke Struct. Equ. Model. (IF 2.5) Pub Date : 2024-02-16 Tenko Raykov
This note demonstrates that measurement invariance does not guarantee meaningful and valid group comparisons in multiple-population settings. The article follows on a recent critical discussion by ...
-
Mediation Analyses of Intensive Longitudinal Data with Dynamic Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2024-01-30 Jie Fang, Zhonglin Wen, Kit-Tai Hau
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, ...
-
Quantifying Individual Personality Change More Accurately by Regression-Based Change Scores Struct. Equ. Model. (IF 2.5) Pub Date : 2024-01-30 Steffen Zitzmann, Lisa Bardach, Kai T. Horstmann, Matthias Ziegler, Martin Hecht
We investigated three different approaches for quantifying individual change and reporting it back to persons: (a) the common change score, which is obtained by first computing scale scores from tw...
-
Penalized Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Tihomir Asparouhov, Bengt Muthén
Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with prev...
-
Recovering Developmental Bivariate Trajectories in Accelerated Longitudinal Designs with Dynamic Continuous Time Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Nuria Real-Brioso, Eduardo Estrada, Pablo F. Cáncer
Accelerated longitudinal designs (ALDs) provide an opportunity to capture long developmental periods in a shorter time framework using a relatively small number of assessments. Prior literature has...
-
On the Performance of Horseshoe Priors for Inducing Sparsity in Structural Equation Models Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Kjorte Harra, David Kaplan
The present work focuses on the performance of two types of shrinkage priors—the horseshoe prior and the recently developed regularized horseshoe prior—in the context of inducing sparsity in path a...
-
Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Sarah Depaoli, Sonja D. Winter, Haiyan Liu
We extended current knowledge by examining the performance of several Bayesian model fit and comparison indices through a simulation study using the confirmatory factor analysis. Our goal was to de...
-
Latent Profile Transition Analysis with Random Intercepts (RI-LPTA) Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Ming-Chi Tseng
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA...
-
Review of Handbook of Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Jam Khojasteh, Ademola Ajayi
Published in Structural Equation Modeling: A Multidisciplinary Journal (Vol. 31, No. 3, 2024)
-
GSCA Pro—Free Stand-Alone Software for Structural Equation Modeling Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Heungsun Hwang, Gyeongcheol Cho, Hosung Choo
GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with...
-
A Simple Two-Step Procedure for Fitting Fully Unrestricted Exploratory Factor Analytic Solutions with Correlated Residuals Struct. Equ. Model. (IF 2.5) Pub Date : 2023-12-19 Pere J. Ferrando, Ana Hernández-Dorado, Urbano Lorenzo-Seva
A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In th...
-
Circumplex Models with Multivariate Time Series: An Idiographic Approach Struct. Equ. Model. (IF 2.5) Pub Date : 2023-11-09 Dayoung Lee, Guangjian Zhang, Shanhong Luo
The circumplex model posits a circular representation of affect and some personality traits. There is an increasing need to examine the viability of the circumplex model with multivariate time seri...