a. Purposive Sampling
b. Sequential Sampling
c. Probability Sampling
d. Non-probability Sampling
Deliberate sampling, also known as judgmental sampling, involves researchers selecting participants based on their specific knowledge, experience, or characteristics relevant to the study. The researcher uses their judgment to choose participants who best fit the research purpose.
Purposive Sampling (Option a) is essentially another term for deliberate sampling. The core idea in both is the researcher's intentional selection of subjects based on predefined criteria to gain specific insights.
Deliberate sampling falls under the umbrella of Non-probability Sampling (Option d). This is because participants are not chosen randomly; not every member of the population has an equal chance of being included in the sample. The selection is based on the researcher's judgment, not chance.
Given that deliberate sampling is synonymous with purposive sampling and is a type of non-probability sampling, the terms 'Purposive Sampling' and 'Non-probability Sampling' are correctly associated with it.
Homogenous subsets in the sampling are called
Match the LIST-I with LIST-II
| LIST-I Sampling frame (Circles denotes unit selected) | LIST-II Sampling Procedure |
A. ![]() | I. Systematic Sampling |
B. ![]() | II. Cluster Sampling |
C. ![]() | III. Simple Random Sampling |
D. ![]() | IV. Stratified Random Sampling |
Choose the correct answer from the options given below: