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ISSN: 1070-5511

Structural Equation Modeling

Publisher: Taylor & Francis

DOI: 10.1080/10705511.2022.2060231
Structural Equation Modeling ·
2022
Circumplex Models With Ordinal Data
Dayoung Lee, Guangjian Zhang
Ordinal data
Econometrics
Ordinal regression
DOI: 10.1080/10705511.2022.2070753
Structural Equation Modeling ·
2022
Utilizing Moderated Non-linear Factor Analysis Models for Integrative Data Analysis: A Tutorial
Joseph M. Kush, Katherine E. Masyn, Masoumeh Amin-Esmaeili, Ryoko Susukida, Holly C. Wilcox, Rashelle J. Musci
Structural equation modeling
Psychology
Econometrics
DOI: 10.1080/10705511.2022.2061494
Structural Equation Modeling ·
2022
SEM-Based Out-of-Sample Predictions
Mark de Rooij, Julian D. Karch, Marjolein Fokkema, Zsuzsa Bakk, Bunga Citra Pratiwi, Henk Kelderman
Structural equation modeling
Sample (material)
Psychology
DOI: 10.1080/10705511.2022.2065279
Structural Equation Modeling ·
2022
Fitting the Longitudinal Actor-Partner Interdependence Model as a Dynamic Structural Equation Model in M<i>plus</i>
Andrea Savord, Daniel McNeish, Masumi Iida, Selena Quiroz, Thao Ha
Structural equation modeling
Econometrics
Psychology
DOI: 10.1080/10705511.2022.2057999
Structural Equation Modeling ·
2022
Resampling Based Bias Correction for Small Sample SEM
Sara Dhaene, Yves Rosseel
Resampling
Statistics
Sample (material)
DOI: 10.1080/10705511.2022.2053128
Structural Equation Modeling ·
2022
Asymptotic is Better than Bollen-Stine Bootstrapping to Assess Model Fit: The Effect of Model Size on the Chi-Square Statistic
Raul Corrêa Ferraz, Alberto Maydeu-Olivares, Dexin Shi
Bootstrapping (finance)
Statistic
Statistics
DOI: 10.1080/10705511.2022.2063128
Structural Equation Modeling ·
2022
Review of <i>A Beginner’s Guide to Structural Equation Modeling</i>
Jam Khojasteh
Structural equation modeling
Psychology
Econometrics
DOI: 10.1080/10705511.2022.2057315
Structural Equation Modeling ·
2022
A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis
Gyeongcheol Cho, Heungsun Hwang, Marko Sarstedt, Christian M. Ringle
Component (thermodynamics)
Computer science
Algorithm
DOI: 10.1080/10705511.2022.2033977
Structural Equation Modeling ·
2022
Using Structural Equation Modeling in place of Between-Subjects Analysis of Variance
Jonathan Lee Helm, Benedikt Langenberg, Emma Grossman, Justine Poulin, Axel Mayer
Structural equation modeling
Econometrics
Variance (accounting)
DOI: 10.1080/10705511.2022.2050730
Structural Equation Modeling ·
2022
Caught off Base: A Note on the Interpretation of Incremental Fit Indices
Saskia van Laar, Johan Braeken
Interpretation (philosophy)
Base (topology)
Econometrics
DOI: 10.1080/10705511.2022.2051175
Structural Equation Modeling ·
2022
Partitioning Variance for a Within-Level Predictor in Multilevel Models
Chi-Ning Chang, Oi-Man Kwok
Multilevel model
Variance (accounting)
Econometrics
DOI: 10.1080/10705511.2022.2056893
Structural Equation Modeling ·
2022
The Impact of Model Size on the Sensitivity of Fit Measures in Measurement Invariance Testing
Chunhua Cao, Xinya Liang
Sensitivity (control systems)
Measurement invariance
Econometrics
DOI: 10.1080/10705511.2022.2028261
Structural Equation Modeling ·
2022
Estimating and Testing Random Intercept Multilevel Structural Equation Models with Model Implied Instrumental Variables
Michael L. Giordano, Kenneth A. Bollen, Shaobo Jin
Structural equation modeling
Econometrics
Instrumental variable
DOI: 10.1080/10705511.2022.2047976
Structural Equation Modeling ·
2022
An Evaluation of Methods for Meta-Analytic Structural Equation Modeling
Kejin Lee, S. Natasha Beretvas
Structural equation modeling
Econometrics
Psychology
DOI: 10.1080/10705511.2021.2025377
Structural Equation Modeling ·
2022
Assessing the Relative Importance of Predictors in Latent Regression Models
Xin Gu
Structural equation modeling
Regression analysis
Econometrics
DOI: 10.1080/10705511.2021.2019587
Structural Equation Modeling ·
2022
Sample Size Requirements for Bifactor Models
Martina Bader, Lisa J. Jobst, Morten Moshagen
Sample size determination
Econometrics
Sample (material)
DOI: 10.1080/10705511.2022.2039660
Structural Equation Modeling ·
2022
Partially Confirmatory Approach to Factor Analysis with Bayesian Learning: A LAWBL Tutorial
Jinsong Chen
Confirmatory factor analysis
Structural equation modeling
Bayesian probability
DOI: 10.1080/10705511.2022.2032715
Structural Equation Modeling ·
2022
Multiple Group Structural Equation Modeling of the Social Relations Model
David Jendryczko
Structural equation modeling
Group (periodic table)
Psychology
DOI: 10.1080/10705511.2021.2021533
Structural Equation Modeling ·
2022
Detecting Measurement Noninvariance with Continuous Indicators Using Three Different Statistical Methods under the Framework of Latent Variable Modeling
Mingcai Zhang, Lihong Yang
Latent variable
Structural equation modeling
Latent variable model
DOI: 10.1080/10705511.2022.2033622
Structural Equation Modeling ·
2022
A Guide to Detecting and Modeling Local Dependence in Latent Class Analysis Models
Marieke Visser, Sarah Depaoli
Latent class model
Structural equation modeling
Econometrics
DOI: 10.1080/10705511.2022.2032078
Structural Equation Modeling ·
2022
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models
Sonja D. Winter, Sarah Depaoli
Sensitivity (control systems)
Econometrics
Bayesian probability
DOI: 10.1080/10705511.2022.2030743
Structural Equation Modeling ·
2022
Stepwise Latent Class Analysis in the Presence of Missing Values on the Class Indicators
Ö. Emre C. Alagöz, Jeroen K. Vermunt
Latent class model
Class (philosophy)
Econometrics
DOI: 10.1080/10705511.2022.2039066
Structural Equation Modeling ·
2022
Detecting Prior-Data Disagreement in Bayesian Structural Equation Modeling
Sonja D. Winter, Sarah Depaoli
Structural equation modeling
Bayesian probability
Econometrics
DOI: 10.1080/10705511.2022.2045203
Structural Equation Modeling ·
2022
Teacher’s Corner: An R Shiny App for Sensitivity Analysis for Latent Growth Curve Mediation
Eric Kruger, Davood Tofighi, Yu-Yu Hsiao, David P. MacKinnon, M. Lee Van Horn, Katie Witkiewitz
Sensitivity (control systems)
Mediation
Latent growth modeling
DOI: 10.1080/10705511.2022.2034114
Structural Equation Modeling ·
2022
A Monte Carlo Confidence Interval Method for Testing Measurement Invariance
Hui Li, Hongyun Liu
Monte Carlo method
Measurement invariance
Confidence interval