Sampling

What is a target population in research?

• The entire population of a country

• A subset of the general population that a researcher is interested in

• All individuals in a city

• A group of researchers conducting a study

Why is it not usually possible to include all members of a target population in an investigation?

• It is too easy to include everyone

• Practical and economic reasons

• Researchers prefer smaller groups

• It is illegal to include everyone

What is bias in the context of sampling?

• A fair representation of all groups

• Over or under-representation of certain groups within a sample

• A method to ensure accuracy

• A type of random sampling

What is a key strength of random sampling?

• It is very time-consuming

• It is free from researcher bias

• It always includes all target population members

• It is the easiest method to conduct

What is a limitation of random sampling?

• It is always accurate

• It requires no list of the target population

• It is very difficult and time-consuming to conduct

• It guarantees participation from all selected individuals

What is a key strength of systematic sampling?

• It allows for researcher bias.

• It ensures every individual is selected.

• It avoids researcher bias.

• It requires a small sample size.

What is a limitation of systematic sampling?

• It is time-consuming.

• It can interact with a hidden periodic trait.

• It requires a large sample size.

• It is difficult to organize.

In stratified sampling, what must a researcher identify in the target population?

• The most influential individuals.

• The proportions of different types of people.

• The wealthiest individuals.

• The most educated individuals.

How is the sample in stratified sampling made up?

• By selecting only one type of individual.

• By randomly sampling people from each group.

• By choosing the first individuals encountered.

• By selecting individuals based on convenience.

What is a strength of using a sampling technique that avoids researcher bias?

• It requires detailed knowledge of population characteristics.

• It produces a representative sample.

• It is time-consuming to divide into sub-groups.

• It allows the researcher to choose participants.