What are some examples of bias in data collection?

What are some examples of bias in data collection?

Bias in data collection can occur in various ways, such as selection bias, measurement bias, and confirmation bias. Would you like to know more about each type?

Yes, please explain selection bias.

Selection bias happens when the sample collected is not representative of the population. For instance, if a survey only includes responses from a specific demographic, the results may not reflect the views of the entire population.

What about measurement bias?

Measurement bias occurs when the data collection methods are flawed, leading to inaccurate results. An example is using a poorly designed survey that confuses respondents.

Can you give an example of confirmation bias?

Confirmation bias in data collection happens when researchers only seek out data that supports their existing beliefs, ignoring contradictory evidence. This can skew the findings significantly.