Stratified sampling refers to a type of sampling method . With stratified sampling, the researcher divides the population into separate groups, called strata. Then, a probability sample (often a simple random sample ) is drawn from each group. Stratified sampling has several advantages over simple random sampling.

A stratified random sample divides the population into smaller groups, or strata, based on shared characteristics. … A sample is a set of observations from the population. The sampling method is the process used to pull samples from the population.
while Integration of Qualitative and Quantitative designs is called Mixed- Methods Research or Multi-Method Research (MMR). … Sampling in Mixed Methods Research depends on the Research designs chosen in the study.

Stratified sampling refers to a type of sampling method . With stratified sampling, the researcher divides the population into separate groups, called strata. Then, a probability sample (often a simple random sample ) is drawn from each group. Stratified sampling has several advantages over simple random sampling.

## Anshika Sharma

Stratified sampling refers to a type of sampling method . With stratified sampling, the researcher divides the population into separate groups, called strata. Then, a probability sample (often a simple random sample ) is drawn from each group. Stratified sampling has several advantages over simple random sampling.

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## Ayush

A stratified random sample divides the population into smaller groups, or strata, based on shared characteristics. … A sample is a set of observations from the population. The sampling method is the process used to pull samples from the population.

while Integration of Qualitative and Quantitative designs is called Mixed- Methods Research or Multi-Method Research (MMR). … Sampling in Mixed Methods Research depends on the Research designs chosen in the study.

## Abhinav.arjun47

Stratified sampling refers to a type of sampling method . With stratified sampling, the researcher divides the population into separate groups, called strata. Then, a probability sample (often a simple random sample ) is drawn from each group. Stratified sampling has several advantages over simple random sampling.