Sampling in Psychology

What is random sampling in psychology?

• The process of selecting a sample from a larger population in a way that each individual has an equal chance of being chosen.

• The process of selecting a sample from a larger population based on random chance but with unequal probabilities for each individual.

• The process of selecting a sample from a larger population by excluding certain individuals.

• The process of selecting a sample from a larger population based on personal preferences.

Which sampling method ensures that every member of the population has an equal chance of being selected?

• Simple random sampling

• Convenience sampling

• Cluster sampling

• Stratified sampling

What is stratified sampling in psychology?

• A sampling technique where the population is divided into subgroups or strata, and then a non-random sample is taken from each stratum in proportion to its size.

• A sampling technique where the population is divided into subgroups or strata, and then a random sample is taken from each stratum without considering its size.

• A sampling technique where the population is divided into subgroups or strata, and then a random sample is taken from each stratum in proportion to its size, but the size of each stratum is not considered.

• A sampling technique where the population is divided into subgroups or strata, and then a random sample is taken from each stratum in proportion to its size.

In stratified sampling, how is the population divided?

• The population is divided based on age and gender.

• The population is divided based on geographic location.

• The population is divided randomly into equal parts.

• The population is divided into distinct subgroups or strata based on certain characteristics.

What is systematic sampling in psychology?

• A sampling technique where members of a population are selected based on their demographic characteristics to be included in the sample.

• A sampling technique where every nth member of a population is selected to be included in the sample.

• A sampling technique where only the first member of a population is selected to be included in the sample.

• A sampling technique where random members of a population are selected to be included in the sample.

How is systematic sampling different from random sampling?

• Systematic sampling involves selecting items based on their characteristics, while random sampling involves selecting items based on their position in the population.

• Systematic sampling involves selecting items based on a predetermined pattern, while random sampling involves selecting items without any pattern.

• Systematic sampling involves selecting every nth item from a population, while random sampling involves selecting items randomly from a population.

• Systematic sampling involves selecting items randomly from a population, while random sampling involves selecting every nth item from a population.

What is convenience sampling in psychology?

• Sampling method based on selecting participants who are experts in the field.

• Non-probability sampling method based on easy accessibility or availability.

• Sampling method based on selecting participants who are representative of the population.

• Sampling method based on random selection of participants.

What is the main advantage of convenience sampling?

• Convenience sampling is easy and quick to implement.

• Convenience sampling provides a representative sample of the population.

• Convenience sampling ensures high accuracy in the data collected.

• Convenience sampling allows for generalization to the entire population.

What is volunteer sampling in psychology?

• Sampling method where participants are selected based on their availability.

• Sampling method where participants are chosen based on their demographic characteristics.

• Sampling method where participants are randomly selected to be part of a study.

• Non-probability sampling method where participants self-select to be part of a study.

What is the main limitation of volunteer sampling?

• Sampling error

• Non-response bias

• Selection bias

• Confounding variables