What are some examples of research bias?
Research bias refers to systematic errors in study design or data collection that can affect results. Examples include selection bias, where certain groups are overrepresented, and confirmation bias, where researchers favor information that supports their hypothesis.
Can you explain selection bias in more detail?
Sure! Selection bias occurs when the participants included in a study are not representative of the larger population. This can happen if certain groups are more likely to be selected for the study, leading to skewed results.
What impact does confirmation bias have on research outcomes?
Confirmation bias can lead researchers to overlook or dismiss data that contradicts their expectations, ultimately skewing the findings and conclusions of the study.
How can researchers minimize bias in their studies?
Researchers can minimize bias by using random sampling, blinding participants and researchers, and ensuring diverse representation in their study groups.
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