Whose Prior Is It Anyway? A Note on “Rigorous Large-Scale Educational RCTs Are Often Uninformative”
Bibliographic Data
| ID | 9730813 |
|---|---|
| Authors | Adrian Simpson (0000-0002-3796-5506, Durham University, Durham, UK, corresponding author) |
| Year | 2019 |
| Volume | 48 |
| Issue | 6 |
| Pages | 382-384 |
| Publication date | 2019-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational Researcher (JOURNAL) |
| Journal identifiers | ISSN: 0013-189X • E-ISSN: 1935-102X |
| Publisher | American Educational Research Association (AERA) (PUBLISHER) |
| DOI | 10.3102/0013189x19855076 |
| OpenAlex | W2960377375 |
| Language | EN |
| Citations received | 1 |
| References cited | 6 |
A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are “uninformative.” The definition of uninformative depends on the authors’ hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution, disregarding the trials’ varied intentions
Bayes factor · Bayes' theorem · Bayesian probability · Econometrics · Inflation (cosmology · Prior probability · Scale (ratio · Statistics · Advanced Causal Inference Techniques · Mathematics · Psychology · School Choice and Performance · Statistics Education and Methodologies
| Citations per year | 0.14 |
|---|---|
| Citation span | 2019 - 2019 (1) |
| Highly cited | No |