Randomization: Randomly selecting samples and assigning treatments can help reduce selection bias. Blinding: Keeping researchers unaware of certain aspects of the study can minimize confirmation and measurement biases. Standardized Protocols: Using uniform procedures for data collection and analysis can ensure consistency and reduce measurement bias. Peer Review: Subjecting research to rigorous peer review can help identify and correct potential biases. Diverse Teams: Including individuals from various backgrounds can provide multiple perspectives, reducing the risk of unconscious biases.
