# What are the criteria for sampling?

Table of Contents

## What are the criteria for sampling?

Sampling Criteria is one must remember that two costs are involved in a sampling analysis viz., the cost of collecting the data and the cost of an incorrect inference resulting from the data. Researcher must keep in view the two causes of incorrect inferences viz., systematic bias and sampling error.

## What are the 4 basic sampling techniques?

Methods of sampling from a populationSimple random sampling. In this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected. Systematic sampling. Stratified sampling. Clustered sampling. Convenience sampling. Quota sampling. Judgement (or Purposive) Sampling. Snowball sampling.

## How do you determine if a sample is representative of the population?

A representative sample is a subset of a population that seeks to accurately reflect the characteristics of the larger group. For example, a classroom of 30 students with 15 males and 15 females could generate a representative sample that might include six students: three males and three females.

## What is sample size and sampling techniques?

The more the precision required, the greater is the required sample size. Sampling Techniques: The probability sampling techniques applied for health related research include simple random sampling, systematic random sampling, stratified random sampling, cluster sampling, and multistage sampling.

## What are the five sampling techniques?

There are five types of sampling: Random, Systematic, Convenience, Cluster, and Stratified. Random sampling is analogous to putting everyone’s name into a hat and drawing out several names. Each element in the population has an equal chance of occuring.

## What is the best sampling method?

Cluster sampling provides the most precision (i.e., the smallest standard error); so cluster sampling is the best method.