Double blind
Double blind is a term used in research design, particularly in clinical trials, to refer to an experimental procedure in which neither the subjects of the experiment nor the persons administering the experiment know the critical aspects of the experiment. This method is used to prevent bias in research results.
Definition[edit | edit source]
A double-blind procedure is one in which the identity of those receiving a test treatment is concealed from both administrators and subjects until after the study is completed. This is done to prevent any potential bias, as the expectations of the administrator and the participant can influence the results.
Purpose[edit | edit source]
The purpose of a double-blind experiment is to ensure that the results are not influenced by the placebo effect or observer bias. By keeping both the researchers and the participants in the dark about who is receiving the actual treatment and who is receiving the placebo, the researchers can ensure that the results are due to the treatment itself and not any psychological factors.
Method[edit | edit source]
In a double-blind study, participants are randomly assigned to either the experimental group or the control group. The experimental group receives the treatment being tested, while the control group receives a placebo. Neither the participants nor the researchers know who is in which group until the study is over.
Advantages[edit | edit source]
Double-blind studies have several advantages. They can help prevent bias in research results, as neither the participants nor the researchers know who is receiving the treatment. This can help ensure that the results are due to the treatment itself and not any psychological factors. Double-blind studies can also help prevent the placebo effect, as participants do not know whether they are receiving the treatment or a placebo.
Disadvantages[edit | edit source]
Despite their advantages, double-blind studies also have some disadvantages. They can be more expensive and time-consuming than other types of studies. They also require a larger sample size to be effective. In addition, there is always the risk that the blinding could be broken, which could bias the results.
See also[edit | edit source]
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Contributors: Prab R. Tumpati, MD