Question

what sampling technique would u use to select the sample study

Answer 1

The sampling techniques can be broader classified into two categories -

1. Probability sampling -

It uses randomization to make sure that every element of the population gets an equal chance to be in the selected sample.

a. Simple random sampling -

Used when we don't have any knowledge about population in prior.

b. Stratified sampling -

Divides the observations of the population into small subgroups (strata) based on the similarity in such a way that the elements within the group are homogeneous and heterogeneous among the other subgroups formed. And then the elements are randomly selected from each of these strata. We need to have knowledge about population in prior to create subgroups.

c. Systematic sampling -

Every Nth observation is selected. This means if we choose every 10th observation to be selected in the sample then the 10th, 20th, 30th and so on observation will be part of the sample.

2, Non-probability sampling -

This technique does not rely on randomization. It is more reliant on the researcher’s ability to select observations for a sample.

a. Convenience Sampling -

Used when there are only a few available observations of the target population that can easily become the participants in the survey.

b. Quota Sampling -

Identifies strata like stratified sampling, but also uses a convenience sampling approach as the researcher will be the one to choose the necessary number of participants per stratum.

c. Purposive Sampling -

Means the researcher selects participants according to the criteria he has set. This is only used when you are confident enough about the representativeness of the participant regarding the whole target population.