Understanding Bias in Data Collection

The video tutorial explains how researchers can avoid bias in statistical investigations. It covers different types of bias, including selection bias, response bias, and their subtypes like under coverage, convenient sample, non-response, social desirability, and leading questions. The tutorial provides strategies to mitigate these biases, such as generating representative samples, using random sampling methods, and designing neutral survey questions. The goal is to ensure accurate and reliable research outcomes.

What is a common issue with a pet store owner's sampling method that results in selection bias?

• Random sampling

• Too many responses

• Non-response from participants

• Over-representation of a group

What is statistical bias?

• A type of data analysis

• A random error in data collection

• A tendency to favor certain outcomes

• A method to ensure accurate results

Which of the following is NOT a type of selection bias?

• Under coverage

• Convenient sample

• Non-response bias

• Social desirability

How can under coverage bias be avoided?

• By ignoring certain groups

• By using a small sample size

• By making conclusions about the entire population

• By ensuring the sample is representative of the population

What is a convenient sample?

• A sample that includes all population groups

• A sample that is easy to collect but not representative

• A sample that is systematically chosen

• A sample that is randomly selected

What is a key strategy to mitigate non-response bias?

• Reducing the sample size

• Sending multiple survey invitations

• Using only online surveys

• Ignoring non-respondents

What is social desirability bias?

• A bias where all responses are anonymous

• A bias where respondents answer truthfully

• A bias where respondents answer to look favorable

• A bias where questions are neutral

Which method can help reduce social desirability bias?

• Increasing sample size

• Using anonymous questionnaires

• Using leading questions

• Conducting public surveys

What is a leading question?

• A question that suggests a particular answer

• A question that is neutral

• A question that is irrelevant

• A question that is open-ended

How can leading questions be avoided?

• By using complex language

• By asking yes/no questions

• By using neutral wording

• By including personal opinions