From Seinfeld to Statistics
On the Dangers of Double Dipping with Bayesian Inference
Bibliographic Data
| ID | 12424869 |
|---|---|
| Authors | Timothy R Konold (0000-0003-0092-9234, University of Virginia), Elizabeth A Sanders (0000-0002-1008-8435, University of Washington), Kelvin Afolabi (0000-0002-4167-6192, University of Virginia) |
| Year | 2025 |
| Volume | 32 |
| Issue | 4 |
| Pages | 647-656 |
| Publication date | 2025-05-05 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2025.2487053 |
| OpenAlex | W4410085289 |
| Language | EN |
| Citations received | 1 |
| References cited | 48 |
Bayesian inference · Bayesian probability · Bayesian statistics · Econometrics · Inference · Statistics · Bayesian Methods and Mixture Models · Computer Science · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference · Artificial Intelligence
Uncertain Judgements
The multilevel latent covariate model
On Using Bayesian Methods to Address Small Sample Problems
Understanding predictive information criteria for Bayesian models
Classroom Climate and Contextual Effects
Bayesian Estimation and Inference
How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power
Improving transparency and replication in Bayesian statistics
Bayesian structural equation modeling
General Methods for Monitoring Convergence of Iterative Simulations
Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts
MplusAutomation
The Prior Can Often Only Be Understood in the Context of the Likelihood
Centering predictor variables in cross-sectional multilevel models
Bayesian Measures of Model Complexity and Fit
Hierarchical Linear Models
Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models
The SEM Reliability Paradox in a Bayesian Framework
Evaluating Model Fit in Bayesian Confirmatory Factor Analysis With Large Samples
The Sampling Ratio in Multilevel Structural Equation Models
Residual Normality Assumption and the Estimation of Multiple Membership Random Effects Models
A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |