Different Roles of Prior Distributions in the Single Mediator Model with Latent Variables
Bibliographic Data
| ID | 19289804 |
|---|---|
| Authors | Milica Miočević (0000-0001-8487-3666, McGill University, corresponding author), Roy Levy (0000-0001-7737-9176, Arizona State University), David P Mackinnon (0000-0003-0866-6010, Arizona State University) |
| Year | 2021 |
| Volume | 56 |
| Issue | 1 |
| Pages | 20-40 |
| Publication date | 2021-01-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2019.1709405 |
| PMID | 32003232 |
| OpenAlex | W3003574023 |
| Language | EN |
| Citations received | 9 |
| References cited | 56 |
50 and 100. Consequences of a small amount of inaccuracy in priors for loadings can be alleviated by making the prior less informative, whereas the same is not always true of inaccuracy in priors for structural paths. Finally, the consequences of using informative priors depend on the inferential goals of the analysis: inaccurate priors are more detrimental for accurately estimating the mediated effect than for evaluating whether the mediated effect is nonzero. Recommendations are provided about when to gainfully employ Bayesian mediation analysis with latent variables
Bayesian inference · Bayesian probability · Bayesian statistics · Conjugate prior · Econometrics · Frequentist inference · Latent variable · Prior probability · Statistics · Advanced Statistical Methods and Models · Bayesian Modeling and Causal Inference · Computer Science · Mathematics · Statistical Methods and Bayesian Inference
Addressing Small Sample Concerns for Multilevel Mediation in MSEM Framework
Bayesian Multilevel Mediation
Prior Predictive Checks for the Method of Covariances in Bayesian Mediation Analysis
Variable Selection for Mediators under a Bayesian Mediation Model
Detecting Prior-Data Disagreement in Bayesian Structural Equation Modeling
Handling Measurement Error and Omitted Confounders Considering Informativeness of the Confounding Effect under Mediation Modeling
Model Assumption Violations in Bayesian Latent Mediation Analysis
Parameter Recovery for Misspecified Latent Mediation Models in the Bayesian Framework
Bayesian Mediation Analysis with Power Prior Distributions
Robustness?
Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
Estimating Standardized SEM Parameters Given Nonnormal Data and Incorrect Model
A Non-arbitrary Method of Identifying and Scaling Latent Variables in SEM and Macs Models
General Methods for Monitoring Convergence of Iterative Simulations
Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts
Mediation analysis allowing for exposure–mediator interactions and causal interpretation
Distribution of the product confidence limits for the indirect effect
Multilevel Mediation Modeling in Group-Based Intervention Studies
Estimation of Composite Reliability for Congeneric Measures
RMediation
Bayesian mediation analysis.
A Gentle Introduction to Bayesian Analysis
A general approach to causal mediation analysis.
A comparison of methods to test mediation and other intervening variable effects.
Bias in cross-sectional analyses of longitudinal mediation.
Mediation in experimental and nonexperimental studies
A Note on Testing Mediated Effects in Structural Equation Models
Explanation of Two Anomalous Results in Statistical Mediation Analysis
Confidence Limits for the Indirect Effect
The Performance of Methods to Test Upper-Level Mediation in the Presence of Nonnormal Data
The Impact of Specification Error on the Estimation, Testing, and Improvement of Structural Equation Models
The Use of Propensity Scores in Mediation Analysis
A Bayesian Approach for Estimating Mediation Effects With Missing Data
Addressing Moderated Mediation Hypotheses
Bootstrapping Goodness-of-Fit Measures in Structural Equation Models
| Unique citing works | 9 |
|---|---|
| Citations per year | 2,25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |