Explain Biases of research.

Biases in research refer to systematic errors or distortions in the design, conduct, or interpretation of a study that may lead to inaccurate or unfair conclusions. Common biases include selection bias, where the sample is not representative; confirmation bias, favoring information that confirms pre-existing beliefs; and publication bias, selectively publishing positive results. Other biases may stem from cultural, experimenter, or response factors. Recognizing and addressing biases is crucial for maintaining the validity and reliability of research findings, ensuring that conclusions accurately reflect the studied phenomena rather than being skewed by unintended influences.