Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved]
Background: Statistical methods are a cornerstone of research in clinical psychology and are used in clinical trials and reviews to determine the best available evidence. The most widespread statistical framework, frequentist statistics, is often misunderstood and misused. Even when properly applied...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2022-09-01
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| Series: | F1000Research |
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| Online Access: | https://f1000research.com/articles/11-171/v2 |
| _version_ | 1797663920447553536 |
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| author | Sondre Sverd Rekdal Asle Hoffart Rune Zahl-Olsen Thomas B. Bertelsen |
| author_facet | Sondre Sverd Rekdal Asle Hoffart Rune Zahl-Olsen Thomas B. Bertelsen |
| author_sort | Sondre Sverd Rekdal |
| collection | DOAJ |
| description | Background: Statistical methods are a cornerstone of research in clinical psychology and are used in clinical trials and reviews to determine the best available evidence. The most widespread statistical framework, frequentist statistics, is often misunderstood and misused. Even when properly applied, this framework can lead to erroneous conclusions and unnecessarily prolonged trials. The implications for clinical psychology are difficulties in interpreting best available evidence and unnecessarily costly and burdensome research. An alternative framework, Bayesian statistics, is proposed as a solution to several issues with current practice. Methods: Statistical tests of primary outcome measures were extracted from 272 studies, which were cited in 11 recent reviews in the Evidence-based updates series in the Journal of Clinical Child and Adolescent Psychology. The extracted tests were examined regarding relevant features and re-analyzed using Bayes Factors. Results: When statistical tests were significant, the majority (98%) of re-analyzed tests agreed with such claims. When statistical tests were nonsignificant almost half (43%) of re-analyzed tests disagreed with such claims. Equally important for clinical research, an average of 13% fewer participants per study would have been required if the studies had used Bayes Factors. Conclusions: Bayes Factors offer benefits for research in clinical psychology through intuitive interpretations, and less costly trials. |
| first_indexed | 2024-03-11T19:21:45Z |
| format | Article |
| id | doaj.art-185dbf10e0c743768c68628a823cf106 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-03-11T19:21:45Z |
| publishDate | 2022-09-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-185dbf10e0c743768c68628a823cf1062023-10-07T00:00:00ZengF1000 Research LtdF1000Research2046-14022022-09-0111138892Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved]Sondre Sverd Rekdal0https://orcid.org/0000-0003-4830-0654Asle Hoffart1Rune Zahl-Olsen2https://orcid.org/0000-0002-3747-4184Thomas B. Bertelsen3https://orcid.org/0000-0002-3497-5290Department of Child and Adolescent Mental Health, Sørlandet sykehus, Kristiansand, Agder, 4615, NorwayResearch institute of Modum Bad psychiatric hospital, Vikersund, NorwayDepartment of Child and Adolescent Mental Health, Sørlandet sykehus, Kristiansand, Agder, 4615, NorwayDepartment of Child and Adolescent Mental Health, Sørlandet sykehus, Kristiansand, Agder, 4615, NorwayBackground: Statistical methods are a cornerstone of research in clinical psychology and are used in clinical trials and reviews to determine the best available evidence. The most widespread statistical framework, frequentist statistics, is often misunderstood and misused. Even when properly applied, this framework can lead to erroneous conclusions and unnecessarily prolonged trials. The implications for clinical psychology are difficulties in interpreting best available evidence and unnecessarily costly and burdensome research. An alternative framework, Bayesian statistics, is proposed as a solution to several issues with current practice. Methods: Statistical tests of primary outcome measures were extracted from 272 studies, which were cited in 11 recent reviews in the Evidence-based updates series in the Journal of Clinical Child and Adolescent Psychology. The extracted tests were examined regarding relevant features and re-analyzed using Bayes Factors. Results: When statistical tests were significant, the majority (98%) of re-analyzed tests agreed with such claims. When statistical tests were nonsignificant almost half (43%) of re-analyzed tests disagreed with such claims. Equally important for clinical research, an average of 13% fewer participants per study would have been required if the studies had used Bayes Factors. Conclusions: Bayes Factors offer benefits for research in clinical psychology through intuitive interpretations, and less costly trials.https://f1000research.com/articles/11-171/v2evidence-based Bayesian Bayes Factor clinical psychology child and adolescent psychologyeng |
| spellingShingle | Sondre Sverd Rekdal Asle Hoffart Rune Zahl-Olsen Thomas B. Bertelsen Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved] F1000Research evidence-based Bayesian Bayes Factor clinical psychology child and adolescent psychology eng |
| title | Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved] |
| title_full | Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved] |
| title_fullStr | Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved] |
| title_full_unstemmed | Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved] |
| title_short | Bayes factor benefits for clinical psychology: review of child and adolescent evidence base [version 2; peer review: 2 approved] |
| title_sort | bayes factor benefits for clinical psychology review of child and adolescent evidence base version 2 peer review 2 approved |
| topic | evidence-based Bayesian Bayes Factor clinical psychology child and adolescent psychology eng |
| url | https://f1000research.com/articles/11-171/v2 |
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