Sampling Techniques-Quiz

What is the definition of simple random sampling?

• Every participant in the population is grouped by certain characteristics and randomly selected from each group

• Each participant in the population has an equal chance of being selected, with no grouping or bias involved

• Participants are selected based on their availability or convenience

• The population is divided into clusters, and one or more clusters are randomly selected

What does stratified sampling involve?

• Dividing the population into mutually exclusive subgroups and randomly selecting participants from each subgroup

• Selecting a random sample from the entire population

• Grouping the population into clusters and selecting entire clusters randomly

• Choosing participants based on convenience or accessibility

How is systematic sampling defined?

• Selecting participants based on a pre-determined interval, such as every 10th person on a list

• Randomly selecting participants without any specific order or pattern

• Dividing the population into strata and selecting randomly from each group

• Selecting participants from specific clusters chosen at random

What is cluster sampling?

• Selecting participants randomly from within different subgroups or strata

• Dividing the population into groups (clusters), then randomly selecting entire clusters to participate

• Systematically selecting participants from a list using a fixed interval

• Selecting participants from convenient or accessible locations

How is convenience sampling defined?

• Selecting participants based on their willingness to participate, often from easily accessible groups

• Dividing participants into specific subgroups and selecting randomly from each

• Selecting participants from a random sample list generated by a computer

• Choosing participants based on specific criteria that align with the research focus

What is purposive sampling?

• Selecting participants who meet specific characteristics or criteria based on the research goals

• Selecting participants randomly from a list of volunteers

• Choosing participants based on their convenience or availability

• Selecting participants through a random process without any specific criteria

What best describes snowball sampling?

• A random selection of participants, followed by asking them to refer others from the population

• A technique where participants recruit others from their network to participate in the study

• Selecting participants who are available at a given moment

• Dividing the population into clusters and selecting participants randomly

What does quota sampling involve?

• Selecting participants based on their convenience, until a specific number from each subgroup is reached

• Randomly selecting participants from each subgroup based on their population proportion

• Dividing participants into specific strata and selecting from them randomly

• Selecting participants who meet specific criteria, without regard to subgroup representation

A researcher wants to select 100 students from a list of 1,000 to study their study habits. Each student is assigned a unique number, and the researcher uses a random number generator to select 100 students. What type of sampling is being used?

• Stratified sampling

• Simple random sampling

• Cluster sampling

• Systematic sampling

A survey is being conducted on job satisfaction, and the researcher wants to ensure that workers from each department are equally represented. The population is divided into departments, and participants are randomly selected from each department. What sampling method is being used?

• Purposive sampling

• Stratified sampling

• Snowball sampling

• Convenience sampling