False positives refer to the incorrect identification of a result as being positive, when it is actually negative. In research, false positives may occur when a test incorrectly indicates the presence of a specific condition or outcome, leading to mistaken conclusions or interpretations. False positives are a common concern in various fields of research, such as medical testing, scientific experiments, and data analysis. Researchers must carefully consider and account for the potential for false positives in their studies to ensure the validity and accuracy of their findings. Various statistical methods and techniques can be employed to mitigate the risk of false positives in research.