Structural Equation Modeling-A Multidisciplinary Journal

Papers
(The H4-Index of Structural Equation Modeling-A Multidisciplinary Journal is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A Comparison of Different Approaches for Estimating Cross-Lagged Effects from a Causal Inference Perspective56
Assessing Cutoff Values of SEM Fit Indices: Advantages of the Unbiased SRMR Index and Its Cutoff Criterion Based on Communality47
Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook43
Power Analysis for the Random Intercept Cross-Lagged Panel Model Using thepowRICLPMR-Package40
Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons37
Item Meaning and Order as Causes of Correlated Residuals in Confirmatory Factor Analysis35
Residual Structural Equation Models30
Measurement in Intensive Longitudinal Data29
Computational Options for Standard Errors and Test Statistics with Incomplete Normal and Nonnormal Data in SEM29
Multiple Group Alignment for Exploratory and Structural Equation Models24
Multilevel Analysis of Mediation, Moderation, and Nonlinear Effects in Small Samples, Using Expected a Posteriori Estimates of Factor Scores24
Sample Size Requirements for Bifactor Models22
Exploring the Enumeration Accuracy of Cross-Validation Indices in Latent Class Analysis21
Equivalence of Partial-Least-Squares SEM and the Methods of Factor-Score Regression19
Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis16
Exploring the Unfolding of Dynamic Effects with Continuous-Time Models: Recommendations Concerning Statistical Power to Detect Peak Cross-Lagged Effects16
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