replicability means obtaining consistent results across studies H e a l t h M e d i c a l
please respond to the followng discussion post as a peer commenting Replies to Ormand Clarke
The purpose of science is to gain knowledge and find truth in the world around us; research and experimentation allow us to accomplish this goal and share that truth with others. If a study cannot be accurately reproduced, it cannot be verified as true by others in the research community. Not only can non-reproducible studies waste valuable time and funding, but they can also produce negative effects of future research by building on potentially flawed findings. Reproducibility refers to consistently obtaining the same result or data of the original study; replicability means obtaining consistent results across studies that aim to answer the same scientific question using new data or new methods (Miceli, 2019).
Researchers should include a detailed methodology section that includes the actions taken to conclude so other researchers can follow those steps to confirm or contest the results. In 2017, Bustin and Huggett were concerned regarding the reproducibility of biomedical research and that editors were failing to implement their own authors’ instructions which resulted in many articles being published that did not meet the basic standards for transparency, and did not employ suitable data analysis methods, and reported overly optimistic conclusions (Bustin & Huggett, 2017). Several factors can contribute to non-reproducibility, such as unknown variation or effects, inadequate recordkeeping, technology limitations, potential biases, lack of training, institutional barriers, or even misconduct (Miceli, 2019). To mitigate this concern, researchers should adhere to community guidelines for the appropriate design, execution, and reporting of research methods, while articles should be adequately reviewed before being published.
Bustin, S. A., & Huggett, J. F. (2017). Reproducibility of biomedical research – The importance of editorial vigilance. Biomolecular Detection and Quantification, 11, 1–3. https://doi.org/10.1016/j.bdq.2017.01.002