Review:
Sampling Bias
overall review score: 3.5
⭐⭐⭐⭐
score is between 0 and 5
Sampling bias refers to a systematic error that occurs when the sample used in a study is not representative of the population being studied, leading to inaccurate or skewed results.
Key Features
- Leads to inaccurate results
- Occurs when sample is not representative of population
- Can result from selection bias or non-response bias
Pros
- Raises awareness of potential biases in research
- Encourages researchers to carefully consider sampling methods
Cons
- Can compromise the validity and reliability of study findings
- May lead to incorrect conclusions or recommendations