Repository Citation
Bayless, Sharlo and Bihl, Trevor J., "Magnitude Based Inference" (2021). Medical Student Research Symposium Abstracts and Posters. 2.
https://corescholar.libraries.wright.edu/msrs/2021/poster_presentations_5/2
Start Date
29-4-2021 7:15 PM
End Date
29-4-2021 7:25 PM
Document Type
Poster
Description
Though its use is widespread in research, null hypothesis significance testing is not without flaws. Out of a desire to provide a more practical approach to solving statistical problems in certain fields, Magnitude Based Inference (MBI) was created. MBI is a statistical method that was developed by Will G Hopkins and Alan M Batterham, two researchers in Sports and Exercise Science, in 2009.The main issues that they wanted to address with null hypothesis significance testing (NHST),were: 1) the need for a large sample size,2) the confusing language, and 3) the arbitrary selection of a p value of 0.05 in testing significance.
This review is a compilation and evaluation of the current knowledge and debate on MBI. It includes an overview of the method, the factors that led to its creation, and the resulting attacks it faced. It will also analyze the pros and cons of this approach, the present standing of MBI, and the further research that is needed in this field.
Abstract - Bayless
Magnitude Based Inference
Though its use is widespread in research, null hypothesis significance testing is not without flaws. Out of a desire to provide a more practical approach to solving statistical problems in certain fields, Magnitude Based Inference (MBI) was created. MBI is a statistical method that was developed by Will G Hopkins and Alan M Batterham, two researchers in Sports and Exercise Science, in 2009.The main issues that they wanted to address with null hypothesis significance testing (NHST),were: 1) the need for a large sample size,2) the confusing language, and 3) the arbitrary selection of a p value of 0.05 in testing significance.
This review is a compilation and evaluation of the current knowledge and debate on MBI. It includes an overview of the method, the factors that led to its creation, and the resulting attacks it faced. It will also analyze the pros and cons of this approach, the present standing of MBI, and the further research that is needed in this field.
