Step 1: Understanding the Concept:
Sampling techniques are broadly divided into two main categories: probability sampling and non-probability sampling.
In non-probability sampling, elements are selected from the population based on convenience, availability, or subjective judgment rather than random selection.
Step 2: Detailed Explanation:
Let us analyze the sampling method described in the question.
The researcher selects individuals for the sample simply because they are walking by the mall.
This means the selection of participants is based solely on their easy accessibility and proximity to the researcher.
This is a classic example of convenience sampling (also known as accidental, opportunity, or grab sampling).
Let us review why the other options do not apply:
- Purposive sampling (A) involves selecting individuals with specific characteristics relevant to the study based on the researcher's judgment.
- Snowball sampling (B) involves existing study subjects recruiting future subjects from among their acquaintances, which is useful for hard-to-reach populations.
- Random sampling (C) is a probability sampling method where every individual in the population has a known, non-zero chance of being selected.
Since walking by a mall does not give every member of the target population an equal or known probability of selection, it cannot be random sampling.
Thus, convenience sampling is the correct classification.
Step 3: Final Answer:
The correct option is (D).