What is bias in surveys and how can it affect results?
Bias in surveys refers to systematic errors that lead to incorrect conclusions. It can skew results and misrepresent the population.
Can you give me examples of different types of bias?
Sure! Common types include selection bias, response bias, and measurement bias. Each affects data collection differently.
How can I minimize bias when designing a survey?
To minimize bias, use random sampling, clear and neutral questions, and pre-test your survey to identify potential issues.
What are the consequences of ignoring bias in survey results?
Ignoring bias can lead to misleading conclusions, poor decision-making, and loss of credibility for the research.
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