RESEARCH METHODOLOGY

Detailed explanation-1: -Probability sampling requires that each member of the survey population has a known probability of being included in the sample, but it does not require that this probability be the same for everyone.

Detailed explanation-2: -In non-probability sampling, the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Detailed explanation-3: -Random sampling is the truest form of probability sampling. This type of sampling guarantees that each member of a population has an equal chance of being included in the sample. This type of sampling is ideal for more controlled studies where human bias in the selection of the sample is intolerable.

Detailed explanation-4: -Non-probability sampling is a method of selecting units from a population using a subjective (i.e. non-random) method. Since non-probability sampling does not require a complete survey frame, it is a fast, easy and inexpensive way of obtaining data.

Detailed explanation-5: -In judgmental sampling researchers select units from the population based on their knowledge and judgement about the unit. This kind of sampling does not provide equal probability of a unit being chosen.