What is the difference between selection bias and other types of biases?

What is the difference between selection bias and other types of biases?

Selection bias occurs when the sample collected is not representative of the population, leading to skewed results. Other biases, like confirmation bias, involve favoring information that confirms existing beliefs.

Can you give me an example of selection bias?

Sure! An example of selection bias is conducting a survey about health habits only among gym members, which may not represent the general population.

How does selection bias affect research outcomes?

Selection bias can lead to incorrect conclusions, as the findings may not be applicable to the broader population, affecting the validity of the research.

What are some other common biases in research?

Some common biases include confirmation bias, publication bias, and sampling bias, each affecting how data is interpreted and reported.

How can researchers minimize selection bias?

Researchers can minimize selection bias by using random sampling methods, ensuring diverse participant representation, and being transparent about their selection criteria.