Sampling Methods in Research

The video tutorial by Aisha on Educational Hub explains the concept of sampling in research. It covers the importance of selecting a representative sample to draw valid conclusions. The tutorial distinguishes between probability sampling, which involves random selection, and non-probability sampling, which is based on non-random criteria. Various methods under each category are discussed, such as simple random sampling, systematic sampling, stratified sampling, and cluster sampling for probability sampling, and convenience sampling, voluntary response sampling, purpose of sampling, and snowball sampling for non-probability sampling. The video concludes with a comparison of the two sampling methods, highlighting their differences and applications.

What is the primary reason for selecting a sample in research?

• To avoid making any conclusions

• To draw conclusions about the entire population

• To make the research more complex

• To include every individual in the study

Which type of sampling involves random selection?

• Probability sampling

• Non-probability sampling

• Judgment sampling

• Convenience sampling

Why are samples considered practical in research?

• They are easier to manage

• They are more expensive

• They complicate the research process

• They require more resources

What is a characteristic of simple random sampling?

• Only subgroups are selected

• It involves voluntary participation

• Members are selected based on convenience

• Every member has an equal chance of selection

In systematic sampling, how are individuals chosen?

• Based on their availability

• At regular intervals

• Through voluntary response

• Randomly without any order

What is the main advantage of stratified sampling?

• It ensures every subgroup is represented

• It is the fastest method

• It is the easiest method

• It requires no prior knowledge

How does cluster sampling differ from stratified sampling?

• It selects individuals from each subgroup

• It is based on convenience

• It selects entire subgroups

• It does not involve any subgroups

What is a key feature of non-probability sampling?

• Random selection

• Use of random number generators

• Equal chance for all members

• Non-random selection

Which method involves selecting the most accessible individuals?

• Systematic sampling

• Convenience sampling

• Stratified sampling

• Cluster sampling

In voluntary response sampling, how are participants chosen?

• They are chosen at regular intervals

• They are selected by the researcher

• They volunteer themselves

• They are randomly selected