Bias:Bias refers to systematic errors or distortions in data collection or analysis that can influence results and conclusions.
Sampling Error: Sampling error is the difference between sample statistics and population parameters caused by random variation in selecting participants for a study.
Demand Characteristics: These are cues within an experiment that subtly guide participants towards certain responses, potentially influencing the results.