Sampling

A sample in which every unit in the population has a chance (greater than zero) of being selected in the sample

• Probability

• Non Probability

• Both

• None

Sampling method where some elements of the population have no chance of selection , or where the probability of selection can't be accurately determined. 

• Probability

• Convenience

• Non Probability

• Simple Random

A sample obtained by selecting every kth member of the Population where k is a counting number.

• Simple Random

• Stratified

• Cluster

• Systematic

a sample obtained by dividing the population into subgroups according to some characteristics relevant to the study. Then subjects are selected at random from each subgroup.

• Simple Random

• Convenience

• Stratified

• Cluster

Sample is obtained by dividing the population into sections and then selecting one or more at random and using all members as the members of the sample.

• Stratfied

• Cluster

• Convenience

• Systematic

Sampling involves the choice of subjects who are most advantageously placed or in the best position to provide the information required.

• Convenience

• Judgement

• Simple Random

• Syatematic

A type of non-probability sampling method where the sample is taken from a group of people easy to contact or to reach

• Simple Random

• Convenience

• Judgement

• None

Following is a distadvantage of Systematic Sampling

• Easy to use

• Systematic Biases

• High Generalizability

• All of these

Following is an advantage of Convenience Sampling

• Quick and less expensive

• Groups are adequately sampled

• Useful for minority Participation

• All of these

When the representativeness of sample is critical for study we go for,

• Probability Sampling

• Non Probability Sampling

• Convenient Sampling

• Judgement