Sampling Techniques and Errors

The video tutorial covers the sampling process in research, focusing on defining target populations and identifying sampling frames. It explains the importance of clear definitions and the potential errors in sampling, such as errors of omission and inclusion. Strategies to address these errors are discussed, emphasizing the need for accurate and representative samples.

What is the primary goal of defining a target population in the sampling process?

• To focus only on the most profitable customers

• To exclude difficult-to-reach individuals

• To ensure the sample is representative of the entire group

• To include as many people as possible

Which of the following is NOT a characteristic of a good population definition?

• Inclusion of all possible demographics

• Alignment with previous research

• Consistency with audience needs

• Clear and unambiguous criteria

Why is it important to have specific criteria for defining a target population?

• To make the research process faster

• To ensure clarity and meaningful analysis

• To focus on a single demographic

• To include as many people as possible

What is a sampling frame?

• A list of potential survey questions

• A tool used to draw a sample from the population

• A type of statistical error

• A method for analyzing survey data

What is an error of omission in the context of sampling?

• Excluding individuals who should be in the sample

• Including too many people in the sample

• Misinterpreting survey results

• Using outdated contact information

How can errors of omission be addressed?

• By focusing on qualitative data

• By ignoring them completely

• By using sampling weights and additional frames

• By increasing the sample size

How can demographic composition help in addressing errors of omission?

• By excluding certain demographics

• By comparing population and sample characteristics

• By providing a complete list of participants

• By focusing on qualitative data

What is an error of inclusion?

• Misreporting survey data

• Including individuals who should not be in the sample

• Using incorrect survey questions

• Excluding individuals who should be in the sample

Which method is effective in dealing with errors of inclusion?

• Focusing on qualitative data

• Using only online surveys

• Conducting thorough screening

• Increasing the sample size

What is the role of attention checks in surveys?

• To increase survey length

• To reduce survey costs

• To simplify data analysis

• To verify respondent engagement