Discuss the meaning and techniques of non-probability-based sampling.

Non-probability-based sampling refers to a type of sampling technique where not every individual or unit in a population has a known or equal chance of being selected. Unlike probability-based sampling, where each unit has a specific, calculable chance of being included, non-probability sampling relies on the researcher's judgment or other non-random criteria to select the sample. This approach is often used in qualitative research, particularly when the goal is to gather in-depth insights into a specific phenomenon rather than to generalize results to the entire population. In agribusiness, non-probability-based sampling is applied when researchers want to explore certain aspects of the industry, such as farmers' perceptions, consumer preferences, or market trends, but do not require a statistically representative sample.

There are several techniques used in non-probability-based sampling. The most common include convenience sampling, judgmental (or purposive) sampling, snowball sampling, and quota sampling.

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