just need a discussion response below.

One thing that really stood out to me this week from the lectures is how many ways the results of a study can be skewed. One bias I have seen all too often is the confirmation bias. The "Error and Bias" lecture defines confirmation bias as the inclination of people to favor information that confirms their perception or hypotheses, regardless of whether the information is true or not. The hospital I work at sends out employee engagement surveys quarterly as a quality improvement initiative. Any section that gets below a certain percentage on these surveys has to come up with an action plan to increase performance for the next survey. However, this can prove difficult when some employees rely on rumors or misinformation to support their opinions or prejudices, thus skewing the results of these surveys.