Teacher’s Corner
Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models
Bibliographic Data
| ID | 21641968 |
|---|---|
| Authors | Caspar Van Lissa (0000-0002-0808-5024, Utrecht University, corresponding author), Xin Gu (0000-0002-7724-9379, Utrecht University), Joris Mulder (0000-0003-4863-0936, Utrecht University), Yves Rosseel (0000-0002-4129-4477, Utrecht University), Camiel van Zundert (0000-0001-6287-8474, Utrecht University), Herbert Hoijtink (0000-0001-8509-1973, Utrecht University) |
| Year | 2021 |
| Volume | 28 |
| Issue | 2 |
| Pages | 292-301 |
| Publication date | 2021-03-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2020.1745644 |
| OpenAlex | W3030632765 |
| Language | EN |
| Citations received | 7 |
| References cited | 29 |
This Teacher’s Corner paper introduces Bayesian evaluation of informative hypotheses for structural equation models, using the free open-source R packages bain, for Bayesian informative hypothesis testing, and lavaan, a widely used SEM package. The introduction provides a brief non-technical explanation of informative hypotheses, the statistical underpinnings of Bayesian hypothesis evaluation, and the bain algorithm. Three tutorial examples demonstrate informative hypothesis evaluation in the context of common types of structural equation models: 1) confirmatory factor analysis, 2) latent variable regression, and 3) multiple group analysis. We discuss hypothesis formulation, the interpretation of Bayes factors and posterior model probabilities, and sensitivity analysis
Bayes factor · Bayes' theorem · Bayesian inference · Bayesian probability · Bayesian statistics · Confirmatory factor analysis · Econometrics · Latent variable · Machine learning · Statistical hypothesis testing · Statistics · Structural equation modeling · Advanced Statistical Methods and Models · Advanced Statistical Modeling Techniques · Advanced Text Analysis Techniques · Computer Science · Mathematics · Artificial Intelligence
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| Unique citing works | 7 |
|---|---|
| Citations per year | 1,75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |