Selection Bias: This occurs when the samples or data selected for study are not representative of the larger population. Confirmation Bias: Researchers may focus on data that supports their hypotheses while ignoring data that contradicts it. Measurement Bias: This involves errors in data collection methods, which can lead to inaccurate results. Publication Bias: Positive results are more likely to be published than negative or inconclusive findings, skewing the scientific literature.
