Psychology
Review Cycle Records
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
Paper Review Records
All Paper Review Records
10 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
How Much Is Too Much? An Investigation of the Evaluation of Approximate Measurement Invariance Using Alignment Method
AuthorsChunhua Cao
Affiliations1. University of Alabama
Growth Mixture Models in the Structural Equation Modeling Versus the Multilevel Modeling Framework
AuthorsSarah E. Johnson; Kevin J. Grimm
Affiliations1. Arizona State University
The Impact of Sampling and Measurement Error in Y on the Estimation of Level 2 Standardized X-Y Relationships
AuthorsTimothy R. Konold; Elizabeth A. Sanders
Affiliations1. University of Virginia; 2. University of Washington
Bayesian Structural Equation Multi-State Model for Mediation Analysis
AuthorsChunjie Wang; Shunxin Qi; Xiaoxiao Zhou; Qi Yang; Xinyuan Song
Affiliations1. Changchun University of Technology; 2. University of Alabama at Birmingham; 3. Shandong University; 4. The Chinese University of Hong Kong
Evaluating a Bayesian Approach for Estimating Moderator Effects in Parameter-Based Meta-Analytic Structural Equation Modeling
AuthorsJulian F. Lohmann; Oliver Lüdtke; Alexander Robitzsch
Affiliations1. Leibniz Institute for Science and Mathematics Education; 2. Centre for International Student Assessment (ZIB)
Planned Measurement-Missing Designs in Intensive Longitudinal Studies: How Well Do They Recover Power and Parameter Estimates?
AuthorsYue Liu; Xiaohui Luo; Hongyun Liu
Affiliations1. Sichuan Normal University; 2. Beijing Normal University
A Small Latent Class in Growth Mixture Modeling: A Simulation Study
AuthorsEunsook Kim; Courtney Howard Kirby; Emma Evudottir; Yan Wang; Xin Tong; David Goretzko; John Ferron; Xilong Jing
Affiliations1. University of South Florida; 2. University of Massachusetts Lowell; 3. University of Virginia; 4. Goethe University Frankfurt
Parceling to Lower Indicator-to-Sample-Size Ratio? Instead Try Correcting Your SEM Chi-Square for High p and Modest N to Obtain a Nominal Type I Error Rate Without Parcel-Allocation Variability
AuthorsSonya K. Sterba; Amy Liang
Affiliations1. Vanderbilt University
Latent Class Model with Covariates: 1-Step Approaches Using PSEM
AuthorsTseng Mingchi
Affiliations1. National University of Tainan
Accounting for Nuisance Trends Using Gaussian Processes in Dynamic Structural Equation Modeling
AuthorsReginald Ziedzor; Jennifer Koran
Affiliations1. Amplify Education, Inc; 2. Southern Illinois University
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