What are common survey analysis mistakes?

What are some common mistakes people make when analyzing survey data?

Some common mistakes include not considering sample size, ignoring response bias, and failing to segment data.

Can you explain why sample size is important?

Sample size affects the reliability of your results. A small sample may not represent the population accurately.

What is response bias?

Response bias occurs when participants provide inaccurate answers, often due to leading questions or social desirability.

How can I avoid these mistakes in my analysis?

To avoid mistakes, ensure a representative sample, ask clear questions, and analyze data segments separately.