Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Performance of Model Fit and Selection Indices for Bayesian Piecewise Growth Modeling with Missing Data
Authors
Keywords
-
Journal
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
Volume -, Issue -, Pages 1-22
Publisher
Informa UK Limited
Online
2023-11-03
DOI
10.1080/10705511.2023.2264514
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Illustrating the Value of Prior Predictive Checking for Bayesian Structural Equation Modeling
- (2023) Sonja D. Winter et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models
- (2022) Sonja D. Winter et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Impact of Informative Priors on Model Fit Indices in Bayesian Confirmatory Factor Analysis
- (2022) Kelly D. Edwards et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Detecting Model Misspecification in Bayesian Piecewise Growth Models
- (2022) Sarah Depaoli et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Advances in Bayesian model fit evaluation for structural equation models
- (2020) Tihomir Asparouhov et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Predicting a Distal Outcome Variable From a Latent Growth Model: ML versus Bayesian Estimation
- (2019) Sanne C. Smid et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Understanding the Model Size Effect on SEM Fit Indices
- (2018) Dexin Shi et al. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
- Automated Latent Growth Curve Model Fitting: A Segmentation and Knot Selection Approach
- (2018) Katerina M. Marcoulides STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Fit for a Bayesian: An Evaluation of PPP and DIC for Structural Equation Modeling
- (2018) Meghan K. Cain et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Piecewise Random-Effects Modeling Software Programs
- (2018) Nidhi Kohli et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models
- (2017) Eric F. Lock et al. PSYCHOMETRIKA
- lavaan: AnRPackage for Structural Equation Modeling
- (2015) Yves Rosseel Journal of Statistical Software
- Collinear Latent Variables in Multilevel Confirmatory Factor Analysis
- (2014) Seda Can et al. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
- Evaluation of a Bayesian Approach to Estimating Nonlinear Mixed-Effects Mixture Models
- (2014) Sarfaraz Serang et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Modeling Growth in Latent Variables Using a Piecewise Function
- (2013) Nidhi Kohli et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Understanding predictive information criteria for Bayesian models
- (2013) Andrew Gelman et al. STATISTICS AND COMPUTING
- Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study
- (2012) Kristin Gustavson et al. BMC PUBLIC HEALTH
- Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data
- (2011) Zhenqiu Laura Lu et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Sensitivity of Fit Indices to Misspecification in Growth Curve Models
- (2010) Wei Wu et al. MULTIVARIATE BEHAVIORAL RESEARCH
- Using Modification Indexes to Detect Turning Points in Longitudinal Data: A Monte Carlo Study
- (2010) Oi-Man Kwok et al. STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- Specifying Piecewise Latent Trajectory Models for Longitudinal Data
- (2008) David B. Flora STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
- The effect of dropout on the efficiency ofD-optimal designs of linear mixed models
- (2007) S. A. Ortega-Azurduy et al. STATISTICS IN MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started