Double Blind Design Flashcards, test questions and answers

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What is Double Blind Design?

A double blind design is a research methodology that prevents both the study participants and the researchers from knowing which group each participant belongs to. This type of design helps ensure that any results are not due to bias caused by either the participants or the researchers. Double blind designs are used in many scientific studies, particularly those involving human subjects, to ensure that results are accurate and reliable.Double blind designs can take many forms, but they all involve a process by which neither the participants nor the researchers know who is in each group. For example, in medical trials, a double-blind design would involve assigning one group of patients a placebo and another group a drug without letting them know which was which until after the study has been completed. In psychological experiments, one group may be given instructions about what behaviors to perform while another is asked not to follow those instructions without being aware of this distinction. Similarly, social science experiments may assign different variables such as gender or race without telling either party what groups have been assigned until after data collection has taken place. The advantage of using a double blind design is that it eliminates potential biases that could affect study results due to researcher or participant expectations or preconceptions about how one group should behave compared with another. Additionally, by masking both parties of their assignment within the experimenters’ research protocol allows for more accurate comparisons between groups since they cannot be influenced by preconceived notions on how they should behave based on their designation within an experimenter’s research protocol. In summary, double blind designs are widely used in scientific studies as a way of preventing bias and ensuring valid results. By hiding information regarding experimental assignments from both parties involved in a study it helps ensure accuracy and reliability of data collected throughout an experiment procedure increasing its validity as well as its potential impact when presented for review or publication purposes.