Severity and Trustworthy Evidence: Foundational Problems versus Misuses of Frequentist Testing
| dc.contributor.author | Spanos, Aris | en |
| dc.date.accessioned | 2024-02-12T15:41:54Z | en |
| dc.date.available | 2024-02-12T15:41:54Z | en |
| dc.date.issued | 2022-02-10 | en |
| dc.description.abstract | For model-based frequentist statistics, based on a parametric statistical model ${{\cal M}_\theta }({\bf{x}})$, the trustworthiness of the ensuing evidence depends crucially on (i) the validity of the probabilistic assumptions comprising ${{\cal M}_\theta }({\bf{x}})$, (ii) the optimality of the inference procedures employed, and (iii) the adequateness of the sample size (<i>n</i>) to learn from data by securing (i)–(ii). It is argued that the criticism of the postdata severity evaluation of testing results based on a small <i>n</i> by Rochefort-Maranda (2020) is meritless because it conflates [a] misuses of testing with [b] genuine foundational problems. Interrogating this criticism reveals several misconceptions about trustworthy evidence and estimation-based effect sizes, which are uncritically embraced by the replication crisis literature. | en |
| dc.description.version | Published version | en |
| dc.format.extent | Pages 378-397 | en |
| dc.format.extent | 20 page(s) | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1017/psa.2021.23 | en |
| dc.identifier.eissn | 1539-767X | en |
| dc.identifier.issn | 0031-8248 | en |
| dc.identifier.issue | 2 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/117931 | en |
| dc.identifier.volume | 89 | en |
| dc.language.iso | en | en |
| dc.publisher | Cambridge University Press | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.title | Severity and Trustworthy Evidence: Foundational Problems versus Misuses of Frequentist Testing | en |
| dc.title.serial | Philosophy of Science | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
| dc.type.other | Article | en |
| dc.type.other | Journal | en |
| pubs.organisational-group | /Virginia Tech | en |
| pubs.organisational-group | /Virginia Tech/Science | en |
| pubs.organisational-group | /Virginia Tech/Science/Economics | en |
| pubs.organisational-group | /Virginia Tech/All T&R Faculty | en |
| pubs.organisational-group | /Virginia Tech/Science/COS T&R Faculty | en |