Which of the following is NOT a common sampling technique?

The correct choice identifies "Experiential sampling" as the option that is not a recognized or common sampling technique in statistical research. In research methodology, sampling techniques are crucial because they determine how data is collected and analyzed.

Random sampling involves selecting individuals from a population in such a way that every member has an equal chance of being chosen, which helps eliminate bias and allows for generalizations to be made about the larger population based on the sample.

Stratified sampling divides a population into subgroups or strata that share similar characteristics and then samples from each stratum. This method is effective in ensuring that various segments of the population are represented, particularly when there are distinct differences among those segments.

Cluster sampling, on the other hand, involves dividing the population into clusters (often geographically) and then randomly selecting entire clusters for study. This method is typically used when the population is large or spread out, helping to reduce costs and improve efficiency in the sampling process.

Experiential sampling, however, is not a commonly recognized technique in the context of quantitative research methodologies. It may refer more to gathering experiential data or qualitative assessments, rather than a structured sampling approach used to draw statistical inferences about a broader population. Hence, it stands apart from the more established sampling techniques