Endorsements by Ihnwhi Heo

0000-0002-6123-3639

Assistant Professor, Psychology, University of Oklahoma
Bayesian inferenceStructural Equation ModelingLongitudinal Data AnalysisMissing Data AnalysisMixture Modeling

Personal Website

Endorsements

How to Test Replication for Structural Equation Models
clearexciting
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Conventional Publication Bias Correction Methods
exciting
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Own works

Bayesian Variable Selection via Shrinkage Priors in Growth Mixture Models
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A Comprehensive Evaluation of Model Selection Indices for Class Enumeration in Bayesian Latent Growth Mixture Models
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A Study of Latent State-Trait Theory Framework in Piecewise Growth Models
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A Methodological Metamorphosis: The Rapid Rise of Bayesian Inference and Open Science Practices in Psychology
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Identifying Screening-Level Predictors of Enrollment in a Mobile Mindfulness Meditation Trial: A Bayesian Model-Averaged Logistic Regression Approach (Preprint)
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Model Assumption Violations in Bayesian Latent Mediation Analysis: An Exploration of Bayesian SEM Fit Indices and PPP
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A tutorial on Bayesian model averaging for exponential random graph models
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Recovering knot placements in Bayesian piecewise growth models with missing data
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Sparse Bayesian Factor Analysis When the Number of Factors Is Unknown (with Discussion)
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Parameter Recovery for Misspecified Latent Mediation Models in the Bayesian Framework
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Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser
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Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data
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Bayesian approach to piecewise growth mixture modeling: Issues and applications in school psychology
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Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser (vol 88, pg 733, 2023)
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Detecting Model Misspecification in Bayesian Piecewise Growth Models
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Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective
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Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data
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LONGITUDINAL STRUCTURAL EQUATION MODELING WITH MPLUS: A LATENT STATE-TRAIT PERSPECTIVE
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Tutorial: Advanced Bayesian regression in jamovi
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Tutorial: jamovi for Bayesian analyses with default priors
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Tutorial: jamovi for beginners
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Tutorial: WAMBS Checklist in JASP (using JAGS)
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Tutorial: JASP for Bayesian analyses with informative priors (using JAGS)
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Tutorial: Advanced Bayesian regression in JASP
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Tutorial: JASP for Bayesian analyses with default priors
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Tutorial: JASP for beginners
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Tutorial: R for beginners
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