Sampling Methods and Research Techniques

The video tutorial by Aisha on Educational Hub covers the concept of sampling in research. It explains the need for sampling, the stages involved, and the different techniques used, including probability and non-probability sampling methods. The tutorial also discusses how to determine sample size and the importance of data collection and response rates in research.

Why is sampling necessary in research?

• To avoid any form of bias

• To reduce the cost and time of data collection

• To collect data from all cases

• To ensure data accuracy

What is the first stage in the sampling process?

• Assessing response rate

• Choosing a sampling technique

• Collecting data

• Defining the target population

What is a sampling frame?

• A technique to analyze data

• A method to collect data

• A list of actual cases from which a sample is drawn

• A list of all possible samples

Which sampling technique involves dividing the population into strata?

• Systematic sampling

• Cluster sampling

• Simple random sampling

• Stratified random sampling

What is an advantage of cluster sampling?

• It provides the most accurate results

• It is the least costly method

• It requires the smallest sample size

• It saves time and money for geographically scattered subjects

Which non-probability sampling method uses a few cases to recruit more participants?

• Convenience sampling

• Quota sampling

• Snowball sampling

• Purposive sampling

What is the main characteristic of purposive sampling?

• Participants are chosen randomly

• Participants are selected based on their availability

• Participants are selected based on predetermined characteristics

• Participants are selected deliberately for their relevance

What is a key factor in determining sample size?

• The proportion of the research population

• The level of precision and risk acceptable

• The number of available participants

• The geographical location of participants

What is the response rate in a study?

• The number of participants who refuse to respond

• The number of cases agreeing to participate

• The total number of participants in the study

• The number of participants who complete the study

Why might researchers not achieve a 100% response rate?

• Researchers do not follow up with participants

• Some participants refuse to respond

• All participants are willing to respond

• Participants are always available