Understanding Sampling in Research

What is sampling in research?

• Sampling refers to the complete study of an entire population.

• Sampling is the method of collecting data through surveys only.

• Sampling is the process of selecting a subset from a population for research purposes.

• Sampling is the process of analyzing data from a single individual.

What is the difference between probability and non-probability sampling?

• Probability sampling is always more accurate than non-probability sampling.

• Non-probability sampling is used for large populations only.

• Probability sampling requires less time and resources than non-probability sampling.

• Probability sampling provides a method for statistical inference, while non-probability sampling does not.

Name one type of probability sampling method.

• Systematic sampling

• Random sampling

• Cluster sampling

• Stratified sampling

What is simple random sampling?

• Simple random sampling is a sampling technique where each member of a population has an equal probability of being selected.

• A technique that ensures only certain groups are sampled.

• A process that gives preference to members based on their characteristics.

• A method where only the largest members are selected.

What is cluster sampling?

• Cluster sampling is a method of sampling where the population is divided into clusters, and entire clusters are randomly selected for study.

• Cluster sampling requires sampling every individual within a selected cluster.

• Cluster sampling involves selecting individuals randomly from the entire population.

• Cluster sampling is a method where only a few individuals are chosen from each cluster.

Explain the concept of systematic sampling.

• Systematic sampling involves choosing samples randomly without any intervals.

• Systematic sampling requires the population to be sorted by a specific characteristic before sampling.

• Systematic sampling is a method of selecting samples based on their size.

• Systematic sampling involves selecting samples at regular intervals from a randomly ordered population.

What are the potential biases in non-probability sampling?

• Potential biases in non-probability sampling include selection bias, response bias, and self-selection bias.

• Measurement bias

• Data collection bias

• Sampling bias

What is stratified sampling?

• Stratified sampling is a method where samples are chosen based on convenience.

• Stratified sampling involves selecting samples from only one subgroup of the population.

• Stratified sampling is a technique that does not require any prior knowledge of the population.

• Stratified sampling is a method where the population is divided into subgroups, and samples are taken from each subgroup.

What is the purpose of using a sample in research?

• A sample is only used when the population is too small to study.

• A sample is used to represent the entire population to make inferences without studying the whole population.

• A sample is used to ensure that every individual in the population is included in the study.

• A sample is used to eliminate the need for statistical analysis.

What is convenience sampling?

• Convenience sampling is a non-probability sampling method where samples are selected based on ease of access.

• Convenience sampling requires random selection from the entire population.

• Convenience sampling is a method that ensures equal representation from all groups.

• Convenience sampling is a technique that involves selecting samples based on their characteristics.