What can psychology's statistics reformers learn from the error-statistical perspective?
In this article, I critically evaluate two major contemporary proposals for reforming statistical thinking in psychology: The recommendation that psychology should employ the “new statistics” in its research practice, and the alternative proposal that it should embrace Bayesian statistics. I do this...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-11-01
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| Series: | Methods in Psychology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590260120300072 |
| _version_ | 1818857235460128768 |
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| author | Brian D. Haig |
| author_facet | Brian D. Haig |
| author_sort | Brian D. Haig |
| collection | DOAJ |
| description | In this article, I critically evaluate two major contemporary proposals for reforming statistical thinking in psychology: The recommendation that psychology should employ the “new statistics” in its research practice, and the alternative proposal that it should embrace Bayesian statistics. I do this from the vantage point of the modern error-statistical perspective, which emphasizes the importance of the severe testing of knowledge claims. I also show how this error-statistical perspective improves our understanding of the nature of science by adopting a workable process of falsification and by structuring inquiry in terms of a hierarchy of models. Before concluding, I briefly discuss the importance of the philosophy of statistics for improving our understanding of statistical thinking. |
| first_indexed | 2024-12-19T08:37:10Z |
| format | Article |
| id | doaj.art-f775bc8e1321462aa840bb2adb2b449e |
| institution | Directory Open Access Journal |
| issn | 2590-2601 |
| language | English |
| last_indexed | 2024-12-19T08:37:10Z |
| publishDate | 2020-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Methods in Psychology |
| spelling | doaj.art-f775bc8e1321462aa840bb2adb2b449e2022-12-21T20:29:01ZengElsevierMethods in Psychology2590-26012020-11-012100020What can psychology's statistics reformers learn from the error-statistical perspective?Brian D. Haig0University of Canterbury, New ZealandIn this article, I critically evaluate two major contemporary proposals for reforming statistical thinking in psychology: The recommendation that psychology should employ the “new statistics” in its research practice, and the alternative proposal that it should embrace Bayesian statistics. I do this from the vantage point of the modern error-statistical perspective, which emphasizes the importance of the severe testing of knowledge claims. I also show how this error-statistical perspective improves our understanding of the nature of science by adopting a workable process of falsification and by structuring inquiry in terms of a hierarchy of models. Before concluding, I briefly discuss the importance of the philosophy of statistics for improving our understanding of statistical thinking.http://www.sciencedirect.com/science/article/pii/S2590260120300072The error-statistical perspectiveThe new statisticsBayesian statisticsFalsificationismHierarchy of modelsPhilosophy of statistics |
| spellingShingle | Brian D. Haig What can psychology's statistics reformers learn from the error-statistical perspective? Methods in Psychology The error-statistical perspective The new statistics Bayesian statistics Falsificationism Hierarchy of models Philosophy of statistics |
| title | What can psychology's statistics reformers learn from the error-statistical perspective? |
| title_full | What can psychology's statistics reformers learn from the error-statistical perspective? |
| title_fullStr | What can psychology's statistics reformers learn from the error-statistical perspective? |
| title_full_unstemmed | What can psychology's statistics reformers learn from the error-statistical perspective? |
| title_short | What can psychology's statistics reformers learn from the error-statistical perspective? |
| title_sort | what can psychology s statistics reformers learn from the error statistical perspective |
| topic | The error-statistical perspective The new statistics Bayesian statistics Falsificationism Hierarchy of models Philosophy of statistics |
| url | http://www.sciencedirect.com/science/article/pii/S2590260120300072 |
| work_keys_str_mv | AT briandhaig whatcanpsychologysstatisticsreformerslearnfromtheerrorstatisticalperspective |