Sampling Methods

What is a population in the context of sampling?

• A population is a sample of individuals selected for a study.

• A population is the entire group of individuals or instances about whom we hope to learn.

• A population is a subset of a larger group that is being studied.

• A population is the average of all data points collected in a study.

What is Volunteer Response Sampling?

• A method where individuals are randomly selected to participate in a study.

• A sampling technique where individuals self-select to be part of the sample, often leading to bias.

• A process of gathering data from a predetermined group of people.

• A technique that ensures equal representation of all demographics in a sample.

What is Biased Sampling?

• Biased Sampling occurs when certain individuals or groups are more likely to be selected than others, leading to an unrepresentative sample.

• Biased Sampling is a method where every individual has an equal chance of being selected.

• Biased Sampling refers to the process of randomly selecting individuals from a population.

• Biased Sampling is when samples are taken from a population without any specific criteria.

What is a sample in research?

• A sample is a subset of the population selected for the purpose of conducting a study.

• A sample is the entire population being studied.

• A sample is a random selection of data points from a database.

• A sample is a theoretical concept that cannot be measured.

What is Unbiased Sampling?

• A method where every individual has an equal chance of being selected, resulting in a representative sample.

• A sampling technique that favors certain individuals over others to achieve specific results.

• A process that involves selecting individuals based on convenience rather than randomness.

• A technique that ensures only the most qualified individuals are chosen for the sample.

What is Stratified Sampling?

• A method of sampling that involves dividing the population into subgroups and randomly selecting samples from each stratum.

• A technique where samples are taken from the entire population without any subgrouping.

• A sampling method that focuses only on the largest subgroup within a population.

• A process of selecting samples based on the most easily accessible members of the population.

What is a sampling frame?

• A method of collecting data from a population.

• A list or database from which a sample is drawn, representing the population.

• A statistical technique used to analyze data.

• A type of survey conducted to gather opinions.

What is the importance of sample size in research?

• Sample size has no effect on research outcomes.

• Larger samples generally provide more accurate estimates.

• Sample size is only important for qualitative research.

• Smaller samples are always preferred for cost-effectiveness.

What is Simple Random Sampling?

• A sampling method where each individual in the population has an equal chance of being selected.

• A sampling method that selects individuals based on specific characteristics.

• A sampling method that involves selecting every nth individual from a list.

• A sampling method that relies on the researcher's judgment to select individuals.

What is the role of randomization in sampling?

• Randomization helps eliminate bias in the selection process, ensuring that the sample is representative of the population.

• Randomization is used to increase the size of the sample for better accuracy.

• Randomization allows researchers to select samples based on convenience rather than randomness.

• Randomization is a method to categorize samples into different groups.