What are some examples of data collection bias?

What are some examples of data collection bias?

Data collection bias occurs when the data collected is not representative of the population. For example, if a survey about internet usage is only distributed online, it may miss responses from those without internet access.

Can you give me another example?

Sure! Another example is selection bias, where certain groups are more likely to be included in a study. For instance, if a health study only includes participants from a specific demographic, the results may not apply to the broader population.

How can we minimize data collection bias?

To minimize data collection bias, researchers can use random sampling methods, ensure diverse participant recruitment, and validate their data collection tools to ensure they capture a wide range of perspectives.

What are the consequences of data collection bias?

Consequences include inaccurate conclusions, misinformed policy decisions, and a lack of trust in research findings, which can ultimately affect real-world applications.