What are some common mistakes in data collection?
Some common mistakes include not defining clear objectives, using biased samples, and neglecting data privacy.
Can you explain how biased samples affect the results?
Biased samples can lead to skewed results, making it difficult to generalize findings to the larger population.
What steps can I take to avoid these mistakes?
To avoid mistakes, ensure clear objectives, use random sampling, and prioritize data privacy and security.
Are there tools that can help with data collection?
Yes, tools like Google Forms, SurveyMonkey, and Qualtrics can help streamline the data collection process.
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