Abstrakti
The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models. We elaborate what each application entails, give illustrative examples, and provide an overview of key references and software with links to other applications. The article is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines.
| Alkuperäiskieli | Englanti |
|---|---|
| Artikkeli | 0000454 |
| Sivut | 558–579 |
| Sivumäärä | 22 |
| Julkaisu | Psychological Methods |
| Vuosikerta | 28 |
| Numero | 3 |
| Varhainen verkossa julkaisun päivämäärä | 2022 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 2023 |
| OKM-julkaisutyyppi | A2 Katsausartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
Daniel W. Heck, proposed the idea for this article. Herbert Hoijtink, initiated the article. They jointly collected all contributions and constructed the article and accompanying website. The names of all contributing authors are listed in alphabetical order. While working on this article, the last author was supported by a fellowship from the Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS-KNAW).
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