Which type of sampling involves the researcher's judgment in selecting the sample?

Non-random sampling

The correct answer is option 3: Non-random sampling

In a non-random sampling method all the units of the population do not have an equal chance of being selected and convenience or judgement of the investigator plays an important role in selection of the sample. They are mainly selected on the basis of judgment, purpose, convenience or quota and are nonrandom samples.

Here's why the other options are not a good fit:

A) Random sampling: This relies on a random selection process, like a lottery, to ensure every individual has an equal chance of being included. No researcher judgment is involved.
B) Census method: This involves collecting data from the entire population, not a sample. Researcher judgment isn't a factor.
D) Lottery method: This is a specific technique used in random sampling, not a separate type of sampling itself