SAMPLING TECHNIQUES

What is sampling?

• A process of selecting a small subset of individuals from a larger population.

• A technique used to analyze data statistically.

• A method of collecting data on a large scale.

• A process of generalizing data to a larger population.

What is simple random sampling?

• A sampling technique where each individual in the population has an equal chance of being selected.
• A sampling technique where individuals are selected based on their availability.
• A sampling technique where the population is divided into homogeneous groups.
• A sampling technique where individuals are chosen based on a specific criterion.

What is stratified sampling?

• A sampling technique where the population is divided into homogeneous groups and individuals are randomly selected from each group.
• A sampling technique where individuals are chosen based on a specific criterion.
• A sampling technique where individuals are selected based on their availability.
• A sampling technique where each individual in the population has an equal chance of being selected.

What is cluster sampling?

• A sampling technique where the population is divided into clusters, and a simple random sample of clusters is selected for data collection.
• A sampling technique where individuals are chosen based on a specific criterion.
• A sampling technique where individuals are selected based on their availability.
• A sampling technique where each individual in the population has an equal chance of being selected.

What is non-probability sampling?

• A sampling technique where the selection of individuals is based on personal judgment or convenience.
• A sampling technique where the population is divided into homogeneous groups and individuals are randomly selected from each group.
• A sampling technique where each individual in the population has an equal chance of being selected.
• A sampling technique where the population is divided into clusters, and a simple random sample of clusters is selected for data collection.

What is systematic sampling?

• A sampling technique where individuals are selected at a fixed interval from an ordered list of the population.
• A sampling technique where the selection of individuals is based on personal judgment or convenience.
• A sampling technique where the population is divided into homogeneous groups and individuals are randomly selected from each group.
• A sampling technique where each individual in the population has an equal chance of being selected.

What is convenience sampling?

• A sampling technique where individuals are selected based on their availability or accessibility.
• A sampling technique where the population is divided into homogeneous groups and individuals are randomly selected from each group.
• A sampling technique where each individual in the population has an equal chance of being selected.
• A sampling technique where individuals are selected at a fixed interval from an ordered list of the population.

What is random sampling?

• A method of selecting participants for a study in a way that everyone in the population has an equal chance of being chosen.
• A method of collecting data by surveying a small group of individuals.
• A technique used to manipulate data to get desired results.
• A process of selecting participants based on their unique characteristics.

What is the purpose of random sampling?

• To increase the generalizability and representativeness of a study's findings.
• To limit the scope of a study to a specific population.
• To manipulate data to fit a desired outcome.
• To select participants based on their unique characteristics.

What is stratified random sampling?

• A method of selecting participants where the population is divided into subgroups, or strata, and random sampling is performed within each stratum.
• A technique used to manipulate data to get desired results.
• A process of selecting participants based on their unique characteristics.
• A method of collecting data by surveying a small group of individuals.